Facial Recognition & Dialog Systems 2017


Notes:

  • Emotion corpora
  • Emotion recognition
  • Expression recognition
  • Face recognition

Wikipedia:

See also:

100 Best Faceposer Videos | 100 Best Faceshift Videos


Multimodal halef: An open-source modular web-based multimodal dialog framework
Z Yu, V Ramanarayanan, R Mundkowsky… – Dialogues with Social …, 2017 – Springer
… as face recognition, head tracking, etc. have also improved. Those technologies are now robust enough to tolerate a fair amount of noise in the visual and acoustic background [6, 7]. So it is now possible to incorporate these technologies into spoken dialog systems to make the …

User profiling and behavioral adaptation for HRI: a survey
S Rossi, F Ferland, A Tapus – Pattern Recognition Letters, 2017 – Elsevier
… For example, the authors in [36,37] focused on the field of user modeling (ie, understanding the user’s beliefs, goals, and plans) in artificial intelligence dialog systems, and illustrated the importance of such modeling on the interaction …

Communication system and team situation awareness in a multiplayer real-time learning environment: application to a virtual operating room
CP Lelardeux, D Panzoli, V Lubrano, V Minville… – The Visual …, 2017 – Springer
… It combines audio, video and facial recognition to capture the user’s voice. Despite all technological advances, models and technology involved in spoken dialogue system, speech and recognition technology and artificial intelligence field would not be sufficient to make …

An open-source dialog system with real-time engagement tracking for job interview training applications
Z Yu, V Ramanarayanan, P Lange… – Proceedings of …, 2017 – uni-ulm.de
… such as face recognition, head tracking, etc. have improved. Those technologies are now robust enough to tolerate a fair amount of noise in the visual and acoustic background [3, 7]. So it is now possible to incorporate these technologies into spoken dialog systems to make the …

Conversational bootstrapping and other tricks of a concierge robot
S Guo, J Lenchner, J Connell, M Dholakia… – Proceedings of the 2017 …, 2017 – dl.acm.org
… The dialog system described in this paper does not have to run on a robot … (ii) The robot uses face recognition to know when a “trusted master” is speaking to it, or to greet a person it has seen before who has provided their name in response to being asked …

Big Five Personality Recognition from Multiple Text Genres
VG dos Santos, I Paraboni, BBC Silva – International Conference on Text …, 2017 – Springer
… Greebles, on the other hand, are abstract objects studied in face recognition, and are notoriously difficult to describe (let alone unambiguously … the 37th Interface Symposium and the CSNA (2005)Google Scholar. 3. Mairesse, F.: Learning to adapt in dialogue systems: data-driven …

Human Computer Interaction Research Through the Lens of a Bibliometric Analysis
K Koumaditis, T Hussain – International Conference on Human-Computer …, 2017 – Springer
… Examples of HCI projects may include social and organizational computing, artificial intelligence, computer vision, face recognition, motion tracking … events (SDEs) in naturalistic HCI, deducing trait-specific conclusions relevant for the design of spoken dialog systems (Prylipko et …

Facial emotion recognition with transition detection for students with high-functioning autism in adaptive e-learning
HC Chu, WWJ Tsai, MJ Liao, YM Chen – Soft Computing, 2017 – Springer
Page 1. Soft Comput DOI 10.1007/s00500-017-2549-z METHODOLOGIES AND APPLICATION Facial emotion recognition with transition detection for students with high-functioning autism in adaptive e-learning Hui-Chuan Chu1 …

A study of fuzzy logic ensemble system performance on face recognition problem
A Polyakova, L Lipinskiy – IOP Conference Series: Materials …, 2017 – iopscience.iop.org
… 3. Face recognition problem The automated human-machine system, working in the dialog mode is called a dialogue system. In the dialog mode, such system responds to all commands from the user, and also appeals to him …

Behavior-Based Humanoid Robot for Teaching
W Budiharto, AD Cahyani – internetworkingindonesia.org
… and face recognition systems using POMDP,” 1st International Workshop on Pattern Recognition, 11-13 May, Tokyo, 2016, pp. 10011101-10011105. [9] JD Williams and S. Young, “Partially observable Markov decision processes for spoken dialog systems,” Journal Computer …

User Generated Dialogue Systems: uDialogue
K Tokuda, A Lee, Y Nankaku, K Oura… – … Technology, Volume 2, 2017 – Springer
… to facilitate the creation and evaluation of dialogue content, we need to separate the content from spoken dialogue system software, and … In recent years, attempts have also been made to use technologies such as proximity sensors, touch panels and face recognition to control …

Speaker Identification Based on Integrated Face Direction in a Group Conversation
N Ienaga, Y Ozasa, H Saito – Applications of Computer Vision …, 2017 – ieeexplore.ieee.org
… In recent years, communication robots equipped with a spoken-dialog system have been widely used at public fa- cilities such as shopping malls, restaurants, etc [3]. Some robots introduce information about the public facility in re- action to a conversation with customers …

Symbol, Conversational, and Societal Grounding with a Toy Robot
C Kennington, S Plane – arXiv preprint arXiv:1709.10486, 2017 – arxiv.org
… Some built-in capabilities include facial recognition and some basic functionality for detecting specific types of ob- jects (eg, some … Supporting the WAC model will be additional standard dialogue system modules, such as a conversational speech recognizer and a dialogue …

Intelligent Adaptive Pillbox: Dynamic Programmable Assistive Technology Device
JS LAKSHMI, SK NASEEMA – INTERNATIONAL JOURNAL, 2017 – ijcmi.com
… issues. There is also an opportunity to explore a wider range of applications that exploit the user friendliness of touch screen based automated dialogue systems in healthcare. References: 1. Reach G. Can technology improve adherence to long-term therapies …

Review on Multiple Classifier System in Pattern Recognition
VV Kamble, RD Kokate – International Conference on …, 2017 – pdfs.semanticscholar.org
… [9] Reza Ebrahimpour, Saeed Reza Ehteram and Ehsanollah Kabir. Face Recognition by Multiple Classifiers, a Divide-and-Conquer Approach … Enhancement of emotion detection in spoken dialogue systems by combining several information sources …

Modeling of natural interaction and algorithm of Intelligent humanoid robot for education
W Budiharto, AD Cahyani… – … and Automation (ICMA) …, 2017 – ieeexplore.ieee.org
… and face recognition systems using POMDP”, 1st International Workshop on Pattern Recognition, 11-13 May, Tokyo, 2016, pp. 10011101-10011105. [9] Jason D. Williams, Steve Young, “Partially observable Markov decision processes for spoken dialog systems”, Journal …

Avoiding Echo-Responses in a Retrieval-Based Conversation System
D Fedorenko, N Smetanin, A Rodichev – arXiv preprint arXiv:1712.05626, 2017 – arxiv.org
… The ubuntu dialogue corpus: A large dataset for research in unstructured multi-turn dialogue systems. CoRR, abs/1506.08909, 2015 … [6] Florian Schroff, Dmitry Kalenichenko, and James Philbin. Facenet: A unified embedding for face recognition and clustering …

An Affect-Aware Dialogue System for Counseling
L Ring – 2017 – search.proquest.com
… interactive web pages for the user to read [106] , or by mimicking face-to-face conversations. through the use of complex dialogue systems built upon models of human discourse [4] . While … invasive sensors that use speech [30] , facial recognition [69] , or posture detection [58] to …

Deciphering conversationparticipants’ uncertainty: A study using non-verbal cues
N Hemmingsson, O Åstrand – 2017 – diva-portal.org
… Due to the development of computer dialogue systems and robots, it has become an increasingly relevant topic for engineers as well … [22] Maja Pantic & Marian S. Bartlett, Machine analysis of facial expres- sions In Face recognition (eds Delac K., Grgic M., editors. ), pp …

Day Workshop Towards Intelligent Social Robots: Social Cognitive Systems in Smart Environments
A Aly, S Griffiths, V Nitsch, T Taniguchi, S Wermter… – 2017 – researchgate.net
… Learning with Embodied Dialogue System … To achieve this aim, we present an embodied dialogue system which enables a humanoid to take on an active role during learning by guiding its user with verbal communication and through the display of emotions …

Speaker Dependency Analysis, Audiovisual Fusion Cues and A Multimodal BLSTM for Conversational Engagement Recognition
Y Huang, E Gilmartin, N Campbell – Proc. Interspeech 2017, 2017 – isca-speech.org
… 10:1–10:6. [4] R. Zhao, T. Sinha, AW Black, and J. Cassell, “Automatic recog- nition of conversational strategies in the service of a socially- aware dialog system,” in 17th Annual Meeting of the Special In … [13] T. Ahonen, A. Hadid, and M. Pietikäinen, “Face recognition with local …

First Time Encounters with Roberta: a Humanoid Assistant for Conversational Autobiography Creation
M Lee, S Schlögl, S Montenegro, A López, A Ratni… – researchgate.net
… In summary, the goal of this agenda was: • to construct adaptable dialog system with topic man- agement and multi-modal functionalities (specifically face recognition), by extending a RavenClaw-type dialog management framework; • to use the Wizard of Oz (WOZ) data …

Design and Evaluation Methods, Tools and Practices
K Angkananon, M Wald, P Ploadaksorn, TP Anjos… – pdfs.semanticscholar.org
… Collection of Example Sentences for Non-task-Oriented Dialog Using a Spoken Dialog System and Comparison with Hand-Crafted DB … Face Recognition Based on Adaptive Singular Value Decomposition in the Wavelet Domain …

Research on Knowledge Intelligent Learning Method in Network Operation and Maintenance
L Wang, Y Zhao, Z Chen – DEStech Transactions on Social …, 2017 – dpi-proceedings.com
… Face recognition identifies people, people, skills, responsibilities, and past experience … [7]. Chen Jianbin. Research and implementation of man-machine dialogue system in limited field [D]. South China University of Technology, 2009.(In Chinese) 606

Multimodal Student Engagement Recognition in Prosocial Games
A Psaltis, KC Apostolakis… – IEEE Transactions on …, 2017 – ieeexplore.ieee.org
… Whitehill et al. [21] used face recognition to acquire student engagement related facial … More specifically, a recent study on dialog systems showed that automatic engagement recognition combining affect with social-behavioral cues outperforms mono-modal solutions [50] …

Towards Basic Emotion Recognition using Players Body and Hands Pose in Virtual Reality Narrative Experiences
G Peñas, F Peinado – pdfs.semanticscholar.org
… Keywords: Human-Computer Interaction, Affective Computing, Feelings Analysis, Human Pose Recognition, Interactive Narrative, Dialog System … by less voluntary actions from the player, for example IMMERSE Project [8] uses Microsoft Kinect to allow facial recognition, it uses …

KIT-Conferences
MIAR Roedder – 2017 – isl.anthropomatik.kit.edu
… 04, 2017. Yeah, Right, Uh-Huh: A Deep Learning Backchannel Predictor, Robin Ruede, Markus Müller, Sebastian Stüker, Alex Waibel. International Workshop on Spoken Dialogue Systems Technology 2017, Farmington, Pennsylvania, USA. 6th – 9th June, 2017 …

Modeling and Design Analysis of Facial Expressions of Humanoid Social Robots Using Deep Learning Techniques
S Murthy – 2017 – search.proquest.com
Abstract. A lot of research can be seen in the field of social robotics that majorly concentrate on various aspects of social robots including design of mechanical parts and their movement, cognitive speech and face recognition capabilities …

Analyzing User Emotions via Physiology Signals
B Myroniv, CW Wu, Y Ren, A Christian, E Bajo… – ikelab.net
… Cowie, ED Cowie, JG Taylor, S.Ioannou, M.Wallace, S. Kollias,“An Intelligent system for facial recognition,” IEEE International … Schaich, Jason Williams,“Emotion Recognition Using Biosen- sors: First Steps towards an Automatic System,” Affective Dialogue Systems, Tutorial and …

Evaluating LSTM Networks, HMM and WFST in Malay Part-of-Speech Tagging
TP Tan, B Ranaivo-Malançon… – Journal of …, 2017 – journal.utem.edu.my
… sequential data such as phoneme recognition, speech translation, language modeling, speech synthesis, chatbot-like dialog systems and others … through local receptive fields, shared weights, pooling, from simple handwritten digit recognition to more complex face recognition …

Cologne Mass Casualty Incident Exercise 2015—Using Linked Databases to Improve Risk and Crisis Management in Critical Infrastructure Protection
F Brauner, A Lotter, OA Mudimu… – Operations Research …, 2017 – Springer
… were implemented on the intermediate level such as different kinds of metal detectors, explosive detectors and face recognition (smart) cameras … and recorded the information flows, the individual care of patients was recorded by a mobile television dialogue system based on …

Multimodal Fusion and Fission within the W3C MMI Architectural Pattern
D Schnelle-Walka, C Duarte, S Radomski – Multimodal Interaction with …, 2017 – Springer
… 19.1 High-level architecture of a multimodal dialog system and available W3C standards [24] … information unit IU comprises two elementary information units EIUs: (1) presence of a visitor and (2) identity of the visitor if it can be determined, eg by a camera and face recognition …

HMM-Based Photo-Realistic Talking Face Synthesis Using Facial Expression Parameter Mapping with Deep Neural Networks
K Sato, T Nose, A Ito – Journal of Computer and Communications, 2017 – scirp.org
… attracted, or affected. The same thing can be said in human-computer interaction. A spoken dialogue system with facial information is richer than that with only speech, and it often gives friendlier impression to users. For example, a …

KWSnet Computer Science Index
KW Smith – 2017 – kwsnet.com
… language. Specific interests include vector space models, dialogue systems, unsupervised grammar induction, robotics, and intelligent tutoring systems … machines. Also works on face recognition algorithms for customer analytics …

Ensemble application of convolutional neural networks and multiple kernel learning for multimodal sentiment analysis
S Poria, H Peng, A Hussain, N Howard, E Cambria – Neurocomputing, 2017 – Elsevier
Skip to main content …

Multimodal fusion: progresses and issues for augmented reality environment
AW Ismail, MS Sunar – International Journal of …, 2017 – inderscienceonline.com
… such as body figure, vision-based recognition (Ismail and Sunar, 2014), gesture, speech, eye and facial recognition (Rozan et al … evidence’, Proceedings of the International CLASS Workshop on Natural, Intelligent and Effective Interaction in Multimodal Dialogue Systems, pp.52 …

Audio-Facial Laughter Detection in Naturalistic Dyadic Conversations
BB Turker, Y Yemez, TM Sezgin… – IEEE Transactions on …, 2017 – ieeexplore.ieee.org
Page 1. Audio-Facial Laughter Detection in Naturalistic Dyadic Conversations Bekir Berker Turker , Yucel Yemez, T. Metin Sezgin, and Engin Erzin, Senior Member, IEEE Abstract—We address the problem of continuous laughter …

Synthesizing normalized faces from facial identity features
F Cole, D Belanger, D Krishnan, A Sarna… – IEEE Conference on …, 2017 – arxiv.org
… This is achieved by learning to generate facial landmarks and textures from features extracted from a facial-recognition network … arXiv:1701.05011 [pdf, ps, other] Title: Assessing User Expertise in Spoken Dialog System Interactions …

End-to-End Architectures for Speech Recognition
Y Miao, F Metze – New Era for Robust Speech Recognition, 2017 – Springer
… from its softmax layer. This end-to-end paradigm has been applied further to a variety of computer vision tasks, eg, object detection [22], face recognition [39], scene labeling [70], and video classification [34]. Another area where …

Affect Aware Ambient Intelligence: Current and Future Directions
C KARYOTIS, F DOCTOR, R IQBAL… – State of the Art in AI …, 2017 – books.google.com
… Firstly, they must be effective in successfully recognizing the present state of the user from input signals. This can be achieved by utilizing a number of different signals such as facial recognition, physiological signals, text, etc. which are related to the users affective state …

Emotion detection: a technology review
JM Garcia-Garcia, VMR Penichet… – Proceedings of the XVIII …, 2017 – dl.acm.org
Page 1. Emotion Detection: A Technology review Jose Maria Garcia-Garcia Computer Science Research Institute University of Castilla-La Mancha Albacete, Spain josemaria.garcia14@alu.uclm.es Victor MR Penichet University …

Do you speak to a human or a virtual agent? automatic analysis of user’s social cues during mediated communication
M Ochs, N Libermann, A Boidin… – Proceedings of the 19th …, 2017 – dl.acm.org
… A screen recording software is used to record the video and audio of the conversation. The video data is analyzed to extract facial features for each frame. A face recognition algorithm (Facial Feature 199 Page 4. ICMI’17, November 13–17, 2017, Glasgow, UK …

Designing an API at an appropriate abstraction level for programming social robot applications
J Diprose, B MacDonald, J Hosking… – Journal of Visual …, 2017 – Elsevier
… Programmers perform low level tasks, such as face recognition; while interaction designers (akin to end-users) use Interaction Composer, a … Markup Language (AIML) is an XML based markup language for authoring the content of natural language dialogue systems [19]; most of …

A Serious Games Platform for Cognitive Rehabilitation with Preliminary Evaluation
PA Rego, R Rocha, BM Faria, LP Reis… – Journal of medical …, 2017 – Springer
In recent years Serious Games have evolved substantially, solving problems in diverse areas. In particular, in Cognitive Rehabilitation, Serious Games assume a relevant role. Traditional cognitive the.

MultiSense—Context-aware nonverbal behavior analysis framework: A psychological distress use case
G Stratou, LP Morency – IEEE Transactions on Affective …, 2017 – ieeexplore.ieee.org
… Specifically, in terms of behavioral analysis, we allow external VH architecture components (eg, the dialog system) to log interaction events in the same database and this enables the MBU to access interaction information for contextualization of behavior (see context-based …

Computer Input of Morse Codes Using Finger Gesture Recognition
R Li – 2017 – aut.researchgateway.ac.nz
… study of innovative human-computer interaction technology has become a high-interest area, and has made gratifying progress; these studies include face recognition, facial expression recognition, lip reading, head movement tracking, gaze tracking, gesture Page 11. 11 …

Business Applications of Deep Learning
A Vieira – Ubiquitous Machine Learning and Its Applications, 2017 – books.google.com
… as 90%. 59 Page 82. Business Applications of Deep Learning 5.2. Chatbots Chatbots, also called Conversational Agents or Dialog Systems, are algorithms designed to have human level conversation capabilities. The goal of …

Situated Intelligent Interactive Systems
Z Yu – 2017 – lti.cs.cmu.edu
… Abstract The recent wide usage of Interactive Systems (or Dialog Systems), such as Apple’s Siri has at- tracted a lot of attention. Besides personal assistants, dialog systems can also be applied in various domains, such as education, health care and entertainment …

A novel divergence for sensitivity analysis in Gaussian Bayesian networks
M Zhu, S Liu, J Jiang – International Journal of Approximate Reasoning, 2017 – Elsevier
… They have been applied to a wide range of tasks such as natural spoken dialog systems, vision recognition, expert systems, medical diagnosis, and genetic regulatory network inference [1–5]. With a network at hand, probabilistic inference can be performed to predict the …

KWSnet Robots/Robotics Index
KW Smith – 2017 – kwsnet.com
… Specific interests include vector space models, dialogue systems, unsupervised grammar induction, robotics, and intelligent tutoring systems … it tracked people coming in and out of the room with face recognition software, and would greet faces that it knew …

Modeling dynamics of expressive body gestures in dyadic interactions
Z Yang, SS Narayanan – IEEE Transactions on Affective …, 2017 – ieeexplore.ieee.org
… Liu et al. proposed a framework also based on GMM-UBM for dynamical face recognition [32], which is similar in spirit to the approach adopted in the present paper. In their work, each video clip is described by uniformly sampled cuboids or segments …

Future modes: How ‘new’new media transforms communicative meaning and negotiates relationships
A Ensslin – researchgate.net
… by an array of “[m]otion capture and analysis technologies, gesture recognition technologies, facial recognition technologies, voice … in interactive speech synthesis; Some paralinguistic and nonlinguistic issues of speech prosody for conversational dialogue systems’, in Keikichi …

Learning to Transfer
Y Wei, Y Zhang, Q Yang – arXiv preprint arXiv:1708.05629, 2017 – arxiv.org
… It is of particular significance when tackling tasks with limited labeled examples. Transfer learning has proved its wide applicability in, such as image classification [15], sentiment classification [4], dialog systems [18] and urban computing [27] …

Dealing with the emotions of Non Player Characters
A Baffa, P Sampaio, B Feijó, M Lana – sbgames.org
… In [14], the author presents a review of the literature regarding the emotional classification based on facial recognition, voice, eyes, gestures, brain waves, heart beats, muscle contractions and other information and achieved by sensors …

Accelerating mobile audio sensing algorithms through on-chip gpu offloading
P Georgiev, ND Lane, C Mascolo, D Chu – Proceedings of the 15th …, 2017 – dl.acm.org
Page 1. Accelerating Mobile Audio Sensing Algorithms through On-Chip GPU Offloading Petko Georgiev§, Nicholas D. Lane†?, Cecilia Mascolo§, David Chu‡ §University of Cambridge, †University College London, ?Nokia Bell Labs, ‡Google …

Towards Micro-video Understanding by Joint Sequential-Sparse Modeling
M Liu, L Nie, M Wang, B Chen – Proceedings of the 2017 ACM on …, 2017 – dl.acm.org
… been very success- ful in variety of temporal sequence tasks, such as language modeling [12, 29], translation [26], dialog system [11], time … in many computer vision tasks, including but not limited to image classification [7, 22], object detection [21, 33, 35], face recognition [38, 43 …

SeleCon: Scalable IoT Device Selection and Control Using Hand Gestures
A Alanwar, M Alzantot, BJ Ho, P Martin… – Proceedings of the …, 2017 – dl.acm.org
… Di erent forms of interaction have been proposed, such as speech recognition [10], face recognition [29], gaze/eye tracking [31], and hand gesture tracking [15]. However, despite this tremendous e ort, we are still far from having a natural way to control and interact with devices …

Intelligent Management of Hierarchical Behaviors Using a NAO Robot as a Vocational Tutor
SS Goenaga Silvera – 2017 – manglar.uninorte.edu.co
… 59 Fig. 4.3-4. Choregraphe Detection and Face Recognition Box. …. 59 Fig … This platform has worked as a study object for research on voice (Smolar et al., 2011), object (Nguyen et al., 2015) and face recognition (Ismail et al., 2011). The complexity of its …

Monday, May 15, 2017
SL Datasets, BD Analytics – ieeexplore.ieee.org
… 94 Jan YK Chan and Alex Po Leung A Two-Phase Representation based Face Recognition Method with ‘Random-Filtering’ Virtual Samples [#0383] …. 101 Deyan Tang, Siwang Zhou, Wenjuan Yang and Yonghe Liu …

Artificial Intelligence in Bio-Medical Domain
M Salman, AW Ahmed, OA Khan… – Artificial …, 2017 – pdfs.semanticscholar.org
… Demonstrator to AI research is that physicians and therefore the computer can interact in disrupted communication and dialogue, system ceaselessly being … and fetch service by learning the object [53] and it works according to the order of user by technique of face recognition …

SingularityNET: A decentralized, open market and inter-network for AIs
B Goertzel, S Giacomelli, D Hanson, C Pennachin… – 2017 – icotokn.com
… In this case, one AI Agent has been trained on deep learn- ing models for video processing, and creates several other AI Agents that specialize in particular kinds of video processing: object recogni- tion, face recognition, and event recognition …

Embodiment in a Child-Like Talking Virtual Body Influences Object Size Perception, Self-Identification, and Subsequent Real Speaking
A Tajadura-Jiménez, D Banakou… – Scientific reports, 2017 – nature.com
Article.

Next-Generation Accounting Interviewing: A Comparison of Human and Embodied Conversational Agents (ECAs) as Interviewers
M Pickard, R Schuetzler, J Valacich, DA Wood – 2017 – papers.ssrn.com
… participants to attend a pre-experiment session to have their photograph taken. We told participants that we needed the photographs to test the interviewing system’s facial recognition capabilities. However, we used the photographs to create ECA models of those who were …

DAC-h3: A Proactive Robot Cognitive Architecture to Acquire and Express Knowledge About the World and the Self
C Moulin-Frier, T Fischer, M Petit… – … on Cognitive and …, 2017 – ieeexplore.ieee.org
… The method in [76] takes user preferences into account when referring to past interactions. Similarly to our framework, it is based on the implementation and cooperation between both episodic and semantic memories with a dialog system …

Automatic assessment of depression based on visual cues: A systematic review
A Pampouchidou, P Simos, K Marias… – IEEE Transactions …, 2017 – ieeexplore.ieee.org
Page 1. 1949-3045 (c) 2017 IEEE. Translations and content mining are permitted for academic research only. Personal use is also permitted, but republication/ redistribution requires IEEE permission. See http://www.ieee.org …

Effective quality factors of multimodal interaction in simple and complex tasks of using a smart television
SM Kim, ES Jung, J Park – Multimedia Tools and Applications, 2017 – Springer
Influencing quality factors, related to the user and system, need to be considered when building a well-designed multimodal interaction system. User groups, access to input modes and tasks were define.

ASVspoof: the automatic speaker verification spoofing and countermeasures challenge
Z Wu, J Yamagishi, T Kinnunen… – IEEE Journal of …, 2017 – ieeexplore.ieee.org
… recently and is currently deployed in a growing variety of practical applications such as in call centres, for spoken dialogue systems, and in … They include the series of LivDet evaluations for fingerprint recognition [8] and a similar initiative for face recognition [9]. As of 2014, none …

Learning Through the Lens of Sketch
T Hammond – Frontiers in Pen and Touch, 2017 – Springer
Dr. Tracy Hammond gave a keynote on morning of the second day of the conference. She spoke about how both her research and the field of Sketch Recognition evolved over the last decade. One motivation.

A novel X-FEM based fast computational method for crack propagation
Z Cheng, H Wang, PMB Vitanyi, N Chater, M Barzegari… – arxiv.org
Attention Submitters: The submission interface will be unavailable due to maintenance for ~2 hours starting 04:00 ET (09:00 UTC) on Thursday, January 18, 2018 …

Computer Vision and Natural Language Processing: Recent Approaches in Multimedia and Robotics
P Wiriyathammabhum, D Summers-Stay… – ACM Computing …, 2017 – dl.acm.org
… Recognition involves both 2D problems (like handwritten recognition, face recognition, scene recognition, or object recognition), and 3D problems (like 3D object recognition from point clouds which assists in robotics manipulation) … 2009], face recognition [Berg et al …

Towards Interpretable Vision Systems
P Zhang – 2017 – vtechworks.lib.vt.edu
Page 1. Towards Interpretable Vision Systems Peng Zhang Dissertation submitted to the Faculty of the Virginia Polytechnic Institute and State University in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Computer Engineering Devi Parikh, Chair …

Visually grounded interaction and language
F Strub, H de Vries, A Das, S Kottur… – Schedule …, 2017 – pdfs.semanticscholar.org
… Gallant 11: 25 AM The evolution of Visually grounded dataset Parikh 02: 00 PM Dialogue systems and RL: interconnecting language, vision and rewards Pietquin 02: 45 PM Accepted Papers 03: 15 PM Break+ Poster (2) 03: 40 PM Grounded Language Learning in a Simulated …

Nonrecurrent Neural Structure for Long-Term Dependence
S Zhang, C Liu, H Jiang, S Wei, L Dai… – IEEE/ACM Transactions …, 2017 – ieeexplore.ieee.org
… distortions in raw data. Therefore, CNNs are widely used in a variety of real applications, including document recognition [5], image classi- fication [6], [8], face recognition [9], [10], speech recognition [11]–[15]. When neural networks …

Expert finding by the Dempster?Shafer theory for evidence combination
N Torkzadeh Mahani, M Dehghani, MS Mirian… – Expert Systems – Wiley Online Library
By continuing to browse this site you agree to us using cookies as described in About Cookies. Remove maintenance message …

Ethical by Design: Ethics Best Practices for Natural Language Processing
JL Leidner, V Plachouras – Proceedings of the First ACL Workshop on …, 2017 – aclweb.org
… be possible, in the same way that many people who uploaded their photos online were not aware that one day face recognition at scale … Picture a spoken dialog system that is easy to use for a young male financial professional user with a Lon- don English pronunciation, but …

Sequential modeling, generative recurrent neural networks, and their applications to audio
S Mehri – 2017 – papyrus.bib.umontreal.ca
… is to accurately predict the label and not truly discovering the underlying factors. Examples of this tasks are spam detection, image recognition, face recognition, speaker identification, and fraud detection. Regression task expect the system to predict a numeric value for an input …

Schedule Highlights
P Sturm – Machine Learning, 2017 – pdfs.semanticscholar.org
… Research community challenge tasks are proliferating, including the sixth Dialog Systems Technology Challenge (DSTC6), the Amazon Alexa prize, and the Conversational Intelligence Challenge live competition at NIPS 2017 …

HCI International 2017–Posters’ Extended Abstracts: 19th International Conference, HCI International 2017, Vancouver, BC, Canada, July 9–14, 2017 …
C Stephanidis – 2017 – books.google.com
… Using Tags . . . . . 450 Junko Itou, Rina Tanaka, and Jun Munemori Collection of Example Sentences for Non-task-Oriented Dialog Using a Spoken Dialog System and Comparison with Hand-Crafted DB . . . . 458 Yukiko Kageyama …

Human-computer Interaction. User Interface Design, Development and Multimodality: 19th International Conference, Hci International 2017, Vancouver, Bc …
M Kurosu – 2017 – books.google.com
Page 1. Masaaki Kurosu (Ed.) Human–Computer Interaction User Interface Design, Development and Multimodality 19th International Conference, HCI International 2017 Vancouver, BC, Canada, July 9–14, 2017 Proceedings, Part I 123 Page 2 …

Digital Guest Experience: Tools to help hotels to manage and optimize the digital guest experience
B Radde – 2017 – books.google.com
… Automatic voice assistants and dialog systems such as Apple’s Siri, Google’s Allo and Microsoft’s Cortana are being increasingly used.30 Users are growing increasingly accustomed to using their smartphones to chat, ask questions and formulate tasks …

Heterogeneous resource mobile sensing: computational offloading, scheduling and algorithm optimisation
P Georgiev – 2017 – cl.cam.ac.uk
… audio stream, including: (i) recognise if spoken words are present (and not any other type of sound); (ii) perform spoken keyword spotting (as all commands are begun with the same starting word); and, (iii) speech recognition, along with additional dialogue system analysis that …

Mood controlled affective ambiences for the elderly
P Willems – 2017 – essay.utwente.nl
… discussed in Chapter 2.4. Facial expressions Face recognition is a method which is used extensively for research and in existing products like FaceReader (Van Uilenburg, Den Uyl, Israel, & Ivan, 2008) and the Affective Affdex (Affectiva, 2016) …

Privacy in online social networks
A Michota, ? ?????? – 2017 – dione.lib.unipi.gr
Page 1. UNIVERSITY OF PIRAEUS Privacy in Online Social Networks Alexandra Michota Doctoral dissertation Department of Digital Systems School of Information and Communication Technologies October 2017 © 2017 Alexandra Michota Page 2 …

Comprehensive Medicinal Chemistry III 30010. Fingerprints and other molecular descriptions for database analysis and searching
D Bajusz, A Rácz, K Héberger – researchgate.net
… 2.1.3.2 Representation of Organic Structures Description Arranged Linearly (ROSDAL) The ROSDAL notation was developed in 1985 in the Beilstein Institute and has powered the Beilstein DIALOG system (or Beilstein-Online). 30 It is quite intuitive, but not easily readable …

Learning from Temporally-Structured Human Activities Data
ZC Lipton – 2017 – search.proquest.com
… Despite the extraordinary success of deep learning on diverse problems, these triumphs are too often confined to large, clean datasets and well-defined objectives. Face recognition systems train on millions of perfectly annotated images … 8.2 Task-completion dialogue systems …