Scene Understanding & Natural Language 2014


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Scene Understanding & Natural Language 2013


[BOOK] Readings in Computer Vision: Issues, Problem, Principles, and Paradigms MA Fischler, O Firschein – 2014 – books.google.com … Intelligence and Software Engineering Edited by Charles Rich and Richard C. Waters (1986) Readings in Natural Language Processing Edited by … 456 Brian V. Funt The 3D MOSAIC Scene Understanding System: Incremental Reconstruction of 3D Scenes for Complex Images … Cited by 146 Related articles All 4 versions

What are you talking about? text-to-image coreference C Kong, D Lin, M Bansal, R Urtasun… – Computer Vision and …, 2014 – ieeexplore.ieee.org … This is due to the inherent difficulties of both natural language processing and visual recognition, as well as the lack of datasets that contain such image descriptions linked to visual annotations (eg, segmentation, detection). … Cited by 7 Related articles All 11 versions

ImageSpirit: Verbal guided image parsing MM Cheng, S Zheng, WY Lin, V Vineet… – ACM Transactions on …, 2014 – dl.acm.org … 2013]). Fig. 2. User interface of our system (labeling thumbnail view). However, most speech interface research is focused on natural language processing and, to our knowledge, there has been no prior work addressing image region selection through speech. … Cited by 5 Related articles All 12 versions

A multi-world approach to question answering about real-world scenes based on uncertain input M Malinowski, M Fritz – Advances in Neural Information Processing …, 2014 – papers.nips.cc … We propose a method for automatically answering questions about images by bringing together recent advances from natural language processing and computer … to mature, there has been an increasing interest in broadening the scope of research to full scene understanding. … Cited by 3 Related articles All 7 versions

The social co-robotics problem space: Six key challenges LD Riek – Robotics Challenges and Vision (RCV2013), 2014 – arxiv.org … I’m sorry Dave, I’m afraid I can’t do that”: Linguistics, Statistics, and Natural Language Processing. … systems should be supported by the research of computer vision techniques as part of a personal assistant based on visual localization and scene understanding, which are … Cited by 3 Related articles All 5 versions

Research on ontology construction and information extraction technology based on wordnet H Hua – Journal of Digital Information Management, 2014 – dline.info … Subject Categories and Descriptors: I.2.10 [Vision and Scene Understanding]: Information Extraction; I.4.10 [Image Representation] … it is an English vocabulary library, which can retrieve and identify the English ontology and is widely used in natural language processing [9-10]. … Cited by 4 Related articles All 2 versions

Textual risk mining for maritime situational awareness AH Razavi, D Inkpen, R Falcon… – Cognitive Methods in …, 2014 – site.uottawa.ca … Index Terms— natural language processing, machine learning, maritime domain awareness, maritime situational awareness, risk detection, text analysis … for suspicious behavior in the maritime search-and- rescue division); DHS’ Automated Scene Understanding, a project … Cited by 2 Related articles All 3 versions

Orientation Robust Text Line Detection in Natural Images L Kang, Y Li, D Doermann – Computer Vision and Pattern …, 2014 – ieeexplore.ieee.org … Since localizing text aids scene understanding, the text detection problem was studied extensively in recent work [1, 2, 3, 4, 5, 6]. The problem is also relevant to a num- ber of computer vision applications such as internet image indexing, mobile vision and low vision aids. … Cited by 2 Related articles All 3 versions

Overview of the ImageCLEF 2014 Domain Adaptation Task B Caputo, N Patricia – … 2014: Overview and analysis of the …, 2014 – infoscience.epfl.ch … per category that were collected through textual search using Bing; – and the SUN database, a scene understanding database that … In: Conference on Empirical Methods in Natural Language Processing (EMNLP) (2006) 2. Bosch, Anna ad Zisserman, A.: Image classification … Cited by 2 Related articles All 3 versions

Learning deep structured models LC Chen, AG Schwing, AL Yuille, R Urtasun – arXiv preprint arXiv: …, 2014 – arxiv.org … methods by a large margin [17, 25, 11, 13, 4]. Similarly state-of-the-art results have been demonstrated for natural language processing, eg, in [26 … In the future we plan to learn deeper models for object recognition in applications such as holistic semantic scene understanding. … Cited by 1 Related articles All 4 versions

Joint video and text parsing for understanding events and answering queries K Tu, M Meng, MW Lee, TE Choe, SC Zhu – MultiMedia, IEEE, 2014 – ieeexplore.ieee.org … causal parsing detects the causal relations between events and fluent changes.30–32 Our work also involves semantic parsing of text descrip- tions, which is related to a variety of semantic parsing approaches studied in the natural language processing community, including … Cited by 1 Related articles All 4 versions

Model of Narrative Nowness for Neurocinematic Experiments J Kauttonen, M Kaipainen, P Tikka – … of Narrative: CMN’14, July 31– …, 2014 – diva-portal.org … 1998 ACM Subject Classification G.1.7 Ordinary Differential Equations, I.2.7 Natural Language Processing, H.1.m Models and Principles: Miscellaneous Keywords and phrases computational, neurocinematics, narrative, retention, protention … Cited by 1 Related articles All 7 versions

Learning object-to-class kernels for scene classification L Zhang, X Zhen, L Shao – Image Processing, IEEE …, 2014 – ieeexplore.ieee.org … Apart from being utilized in spatial pyramid matching, spatial layout also plays an important role in real-world scene understanding. … This is analogous to the Zipf’s law [29] known in the natural language processing area, which implies that only a small proportion of words … Cited by 9 Related articles All 4 versions

Hierarchical crowd analysis and anomaly detection X Chong, W Liu, P Huang, NI Badler – Journal of Visual Languages & …, 2014 – Elsevier … Wang et al. [14] and [15] introduced natural language processing (NLP) into dealing with trajectory analysis, which clustered trajectories by using nonparametric Bayesian model to find atomic activities and build semantic regions. Saligrama et al. … Cited by 3 Related articles All 2 versions

Research on born-digital image text extraction based on conditional random field Z Jian, C RenHong, W Kai, Z Hong – International Journal of High …, 2014 – Inderscience … is conducted on the extracted CCs to label text CCs based on conditional random field (CRF) – a probabilistic graph model that has been widely used in natural language processing. … Kumar (2010) states that it is useful for scene understanding to efficiently select regions. … Related articles All 4 versions

Scene understanding by labeling pixels S Gould, X He – Communications of the ACM, 2014 – dl.acm.org … CRFs were first introduced in the area of natural-language processing but have since found application in a range of machine-learning tasks. … They are thus ideal for integrating multiple visual cues and combining related scene-understanding problems. … Related articles

Learning and Using Context on a Humanoid Robot Using Latent Dirichlet Allocation H Celikkanat, G Orhan, N Pugeault, F Guerin, E Sahin… – kovan.ceng.metu.edu.tr … as a latent topic variable using Latent Dirichlet Allocation (LDA), a state-of-the-art method used widely in natural language processing for modeling … robot can make use of this high-level knowledge for several tasks, such as ob- ject recognition, scene understanding, planning etc … Related articles All 7 versions

Story Board Creation by Using Image Segmentation A Ralegaonkar, N Pise – ijser.org … The output of this phase is given to a natural language processing which will produce the story board. … [7] L. Li, R. Socher, and L. Fei-Fei, , ”Towards total scene understanding: Classification, annotation and segmentation in an automatic frame- work”, in Proc. IEEE Conf. Comput. … Related articles All 2 versions

Nonparametric Method for Data-driven Image Captioning R Mason, E Charniak – acl2014.org … 2014. The sun attribute database: Beyond categories for deeper scene understanding. Interna- tional Journal of Computer Vision. … Corpus-guided sentence gen- eration of natural images. In Empirical Methods in Natural Language Processing (EMNLP), Edin- burgh, Scotland. … Related articles All 8 versions

Identifying and inferring objects from textual descriptions of scenes from books A Cropper, R Neykova, N Ng – 2014 Imperial College Computing …, 2014 – drops.dagstuhl.de … 1998 ACM Subject Classification I. 2.10 Vision and Scene Understanding, I. 2.6 Learning, I. 2.7 Natural Language Processing Keywords and phrases Text-to-Scene Conversion, Natural Language Processing, Artificial Intel- ligence Digital Object Identifier 10.4230/OASIcs. … Related articles All 3 versions

Incorporating fully sparse topic models for abnormality detection in traffic videos R Kaviani, P Ahmadi… – Computer and Knowledge …, 2014 – ieeexplore.ieee.org … days. Scene understanding is one of the most important aspects of an intelligent video surveillance system. … scenes. In particular, we use FSTM developed in natural language processing, to discover latent motion patterns in video. … Related articles

Weakly-supervised region annotation for understanding scene images H Wang, T Lu, Y Wang, P Shivakumara… – Multimedia Tools and …, 2014 – Springer … of objects and 3D geometry information in a probabilistic framework for object detection and other aspects of scene understanding. … This concept is originated from the natural language processing field, in which graphical models like Probabilistic Latent Semantic Analysis (PLSA … Related articles

Assisted robot navigation based on speech recognition and synthesis SFR Alves, IN Silva, CM Ranieri – Biosignals and Biorobotics …, 2014 – ieeexplore.ieee.org … the idea of an artificial living being, will be addressed in further works with use of natural language processing – another challenging … analysis based on facial expressions may enhance human-robot interaction, as well as object recognition, scene understanding and situation … Related articles

Classification of Vehicle Parts in Unstructured 3D Point Clouds A Zelener, P Mordohai, I Stamos – cs.hunter.cuny.edu … objects in the same class. An additional challenge is due to the nature of the point clouds themselves, since they lack detailed geometric or semantic information that would aid scene understanding. In this paper we present … Related articles All 2 versions

The roles of scene gist and spatial dependency among objects in the semantic guidance of attention in real-world scenes CC Wu, HC Wang, M Pomplun – Vision research, 2014 – Elsevier … and Potter (2004) showed that during early visual processing, the relation between objects and the scene context in which they are located can be established, which could influence observers’ cognitive performance, including scanning strategies and scene understanding. … Related articles All 3 versions

Adopting Abstract Images for Semantic Scene Understanding CL Zitnick, R Vedantam, D Parikh – ieeexplore.ieee.org … Their combination enables an exponential number of potential appearances, Figure 2. Related to semantic scene understanding is visual salience and memorability. … Semantic scene understanding: Numerous papers have explored the semantic understanding of images. … Cited by 1 Related articles All 2 versions

2014 Imperial College Computing Student Workshop R Neykova, N Ng, S Legg, P Wadler, E Belikov… – 2014 – drops.dagstuhl.de … D. 1.3 Concurrent Programming, F. 1.3 Complexity Measures and Classes, F. 3.1 Specifying and Verifying and Reasoning about Programs, F. 4.1 Mathematical Logic, G. 2.2 Graph Theory, I. 2.10 Vision and Scene Understanding, I. 2.7 Natural Language Processing, I. 2 … All 4 versions

CIDEr: Consensus-based Image Description Evaluation R Vedantam, CL Zitnick, D Parikh – arXiv preprint arXiv:1411.5726, 2014 – arxiv.org … 1. Introduction Recent advances in object recognition [12], attribute classification [18], action classification [21, 7] and crowd- sourcing [35] have increased the interest in solving higher level scene understanding problems. One … Related articles All 3 versions

MRL@ Home 2014 Team Description Paper R Fathzadeh, F Abdollahi, N Nabavi, H Bagheri… – fei.edu.br … MRL teams are arranged to initiate several research programs on autonomous mobile robot such as: simultaneous localization and mapping, navigation strategies, motion planning, sensor fusions, scene understanding, visual odometry and … 5.3 Natural Language Processing. … Related articles

Integrating mechanisms of visual guidance in naturalistic language production MI Coco, F Keller – Cognitive processing, 2014 – Springer … determine the mechanisms that guide attention. Keywords Eye movements 4 Language production 4 Scene understanding 4 Cross-modal processing 4 Eye–voice span 4 Structural guidance Introduction In tasks where language is … Related articles All 5 versions

Mobile robot in domestic environment R Fathzadeh, V Mokhtari, F Abdollahi… – Information Science, …, 2014 – ieeexplore.ieee.org … robot such as: simultaneous localization and mapping, navigation strategies, motion planning, sensor fusions, scene understanding, visual odometry … C. Natural Language Processing The received command is a human natural language (NL) and needed to be transformed to … Related articles

Exploiting relationship between attributes for improved face verification F Song, X Tan, S Chen – Computer Vision and Image Understanding, 2014 – Elsevier … Recently, attribute-based representation has been extensively researched in and beyond the field of face recognition [3] and [4], including object recognition [5], [9] and [23], scene understanding [18] and [24], image retrieval [25] and [26], activity analysis [27], [28] and [29], and … Cited by 1 Related articles All 6 versions

Attribute-based classification for zero-shot visual object categorization CH Lampert, H Nickisch… – Pattern Analysis and …, 2014 – ieeexplore.ieee.org … Index Terms—Object recognition, vision and scene understanding Ç … [50] used attribute predictions in combination with object detection and techniques from natural language processing to automatically create descriptions of images in natural language of images. … Cited by 31 Related articles All 12 versions

Detecting misinformation and knowledge conflicts in relational data G Levchuk, M Jackobsen… – SPIE Defense+ …, 2014 – proceedings.spiedigitallibrary.org Page 1. Detecting misinformation and knowledge conflicts in relational data Georgiy Levchuk*, Matthew Jacobsen, and Brian Riordan Aptima Inc., 12 Gill Street, Suite 1400, Woburn, MA, USA 01801; ABSTRACT Information … Related articles

An Improved LDA Model for Academic Document Analysis Y Jiang, Y Shao, P Li, Q Wang – Journal of Software, 2014 – ojs.academypublisher.com … Index Terms—academic documents; topic model; topics extraction; authors discriminant I. INTRODUCTION Characterizing the content of documents is a standard problem addressed in information retrieval, statistical natural language processing, and machine learning. … Related articles All 4 versions

Creating Consistent Scene Graphs Using a Probabilistic Grammar T Liu, S Chaudhuri, VG Kim, Q Huang… – ACM Transactions …, 2014 – shape.cs.princeton.edu … We identify two types of attributes that are important for scene understanding: geometry attributes Ag which describe the shape of … Thus, inspired by grammar binarization techniques in natural language processing [Earley 1970], we convert each rule with more than two right … Related articles All 5 versions

Message Passing Inference for Large Scale Graphical Models with High Order Potentials J Zhang, A Schwing, R Urtasun – Advances in Neural Information …, 2014 – papers.nips.cc … In domains such as computer vision, natural language processing and computational biology they have been very widely used to solve problems such as semantic segmentation [37], depth re- construction [21], dependency parsing [4, 25] and protein folding [36]. … Related articles All 7 versions

Using Multimodal Cues to Analyze MLA’14 Oral Presentation Quality Corpus: Presentation Delivery and Slides Quality L Chen, CW Leong, G Feng, CM Lee – … of the 2014 ACM workshop on …, 2014 – dl.acm.org … H.5.1 [Information interfaces and presentation]: Gen- eral—Multimedia Information Systems; I.2.10 [Computing methodologies]: Artificial intelligence—Vision and scene understanding; I.2.7 [Computing methodologies]: Arti- ficial intelligence—Natural language processing … Related articles All 2 versions

On being the right scale: Sizing large collections of 3D models M Savva, AX Chang, G Bernstein, CD Manning… – … Scene Understanding …, 2014 – dl.acm.org … SA’14 Workshop on Indoor Scene Understanding, December 03, 2014, Shenzhen, China. … 2010]. Recent work in natural language processing has automatically ex- tracted numerical attributes from web text [Davidov and Rappoport 2010]. … Cited by 4 Related articles All 2 versions

A Model for the Semantic Annotation of Images JB Gil – 2014 – bir.brandeis.edu … gesting me this topic of research and guiding me when I was confused and overwhelmed by the amount of literature on events in linguistics, natural language processing, and ontology engineering. His comments and suggestions about how to endeavor in this project and about … Related articles All 4 versions

C3D: Generic Features for Video Analysis D Tran, L Bourdev, R Fergus, L Torresani… – arXiv preprint arXiv: …, 2014 – arxiv.org Page 1. C3D: Generic Features for Video Analysis Du Tran1,2, Lubomir Bourdev1, Rob Fergus1,3, Lorenzo Torresani2, Manohar Paluri1 1Facebook AI Research, 2Dartmouth College, 3New York University {dutran,lorenzo}@cs … Related articles All 2 versions

Towards Real-Time Image Understanding with Convolutional Networks Y Bengio – 2014 – tel.archives-ouvertes.fr … 25 2.2 A Model for Scene Understanding . . . . . 25 … 75 3.3.3 Compiling ConvNets for the ConvNet Processor . . . . . 76 3.3.4 Application to Scene Understanding . . . . . 78 3.3.5 Performance . . . . . … Related articles All 9 versions

Probabilistic Word Selection via Topic Modeling Y Zhuang, H Gao, F Wu, S Tang, Y Zhang, Z Zhang – ieeexplore.ieee.org … probabilistic “bag-of-topics” in the topic modeling domain or the flat “bag-of-words” in the traditional natural language processing domain to … In USTM, eg, the scene understanding model [10] and LabeledLDA [25], the response variable (such as category) is being conditioned on … Related articles

Image segmentation using higher-order correlation clustering S Nowozin, P Kohli, C Yoo, S Kim – IEEE Transactions on Pattern …, 2014 – slsp.kaist.ac.kr … is a graph-partitioning algorithm, was recently shown to be effective in a number of applications such as natural language processing, document clustering … coherent regions is currently being used in many of the state-of-the-art high-level image/scene understanding tasks such … Cited by 1 Related articles All 12 versions

Visual Chunking: A List Prediction Framework for Region-Based Object Detection N Rhinehart, J Zhou, M Hebert, JA Bagnell – arXiv preprint arXiv: …, 2014 – arxiv.org … We call these unions “chunks,” inspired by a well-known task in Natural Language Processing: “chunking,” which involves grouping many words together into … [35] G. Heitz et al., “Cascaded classification models: Combining models for holistic scene understanding,” in NIPS, 2008 … Related articles All 2 versions

Structured prediction via output space search JR Doppa, A Fern, P Tadepalli – The Journal of Machine Learning …, 2014 – dl.acm.org … 1. Introduction Research in machine learning has progressed from studying isolated classification tasks to the study of tasks such as information extraction and scene understanding where the inputs and outputs are structured objects. … Cited by 9 Related articles All 7 versions

Logo detection with extendibility and discrimination KW Li, SY Chen, S Su, DJ Duh, H Zhang… – Multimedia tools and …, 2014 – Springer … Abstract Logos are specially designed marks that identify goods, services, and organiza- tions using distinguished characters, graphs, signals, and colors. Identifying logos can facilitate scene understanding, intelligent navigation, and object recognition. … Cited by 1 Related articles All 4 versions

Towards Transparent Systems: Semantic Characterization of Failure Modes A Bansal, A Farhadi, D Parikh – Computer Vision–ECCV 2014, 2014 – Springer … a lot of attention in the pattern recogni- tion community [2–4]. Applications such as spam-filtering [5], natural language processing [6, 7 … Attributes have been used to learn and evaluate models of deeper scene understanding [20] that reason about prop- erties of objects as … Related articles All 8 versions

Predicting failures of vision systems P Zhang, J Wang, A Farhadi, M Hebert… – Computer Vision and …, 2014 – ieeexplore.ieee.org … Reliably estimating the confi- dence of classifiers has received a lot of attention in the pat- tern recognition community [13, 29, 39]. Applications such as spam-filtering [9], natural language processing [2, 12], speech [27] and even computer vision [61] have leveraged these ideas. … Cited by 2 Related articles All 11 versions

Recognizing Point Clouds using Conditional Random Fields F Husain, L Dellen, C Torras – Pattern Recognition (ICPR), …, 2014 – ieeexplore.ieee.org … C. Li, A. Saxena, and T. Chen, “?-mrf: Capturing spatial and semantic structure in the parameters for scene understanding,” in Advances … Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the … Related articles All 2 versions

Visual pattern discovery in image and video data: a brief survey H Wang, G Zhao, J Yuan – Wiley Interdisciplinary Reviews: …, 2014 – Wiley Online Library … Inspired by the success of unsupervised topic discovery in statistical natural language processing, most of top-down methods use generative topic models for visual pattern modeling.[23] [25], [26] [37] In this section, we first review the classic topic model based visual pattern … Cited by 3 Related articles All 4 versions

Visual scene recognition with biologically relevant generative models T Azim – 2014 – eprints.soton.ac.uk Page 1. University of Southampton Research Repository ePrints Soton Copyright © and Moral Rights for this thesis are retained by the author and/or other copyright owners. A copy can be downloaded for personal non-commercial … Related articles All 3 versions

Function-Theoretic Explanation and Neural Mechanisms F Egan – philpapers.org … seeing 3D structure in the scene, understanding speech, grasping objects in nearby space, and … 17 The computational model of natural language processing presented by Marcus (1980) is a case in point: the proposed model is an argumentation of a standard LR(k) parser of … Related articles All 2 versions

On Measure Concentration of Random Maximum A-Posteriori Perturbations T Hazan, AD Sarwate, R EDU, TS Jaakkola, MIT EDU – cs.haifa.ac.il … Modern machine learning tasks in computer vision, natural language processing, and computational biology involve inference in high-dimensional complex models. Exam- ples include scene understanding (Felzenszwalb & Zabih, 2011), parsing (Koo et al., 2010), and protein … Related articles

An iteratively reweighting algorithm for dynamic video summarization P Dong, Y Xia, S Wang, L Zhuo, DD Feng – Multimedia Tools and …, 2014 – Springer … This algorithm was rooted from natural language processing. … Sparse representation was also explored for video summarization. Cong et al. [12] employed both the CENTRIST descriptor [67] for scene understanding and color moments to represent video frames. … Related articles

Discriminative Training of Mixed Membership Models J Zhu, EP Xing – bigml.cs.tsinghua.edu.cn … 1See http://dir.yahoo.com/. 2See https://www.mturk.com/. Page 3. Discriminative Training of Mixed Membership Models 371 include DiscLDA and the scene understanding models (Sudderth et al., 2005; Fei-Fei and Perona, 2005), whereas sLDA is an example of DSTM. … Related articles All 3 versions

Building Location Models for Visual Place Recognition E Stumm, C Mei, S Lacroix – LAAS-CNRS, Toulouse, France, …, 2014 – homepages.laas.fr … Maddern et al., 2012]. In addition to loop-closure, place recognition can be an important function, as a stepping stone towards semantic mapping and scene understanding, as well as map fusion. Incorrect place recognition can … Cited by 1 Related articles All 4 versions

A Maximum Entropy based data-driven synthetic image and 3D scene generation MA Dema – 2014 – repositories.tdl.org … v ABSTRACT Due to overwhelming use of 3D models in video games and virtual environments, there is a growing interest in 3D scene generation, scene understanding and 3D model retrieval. … design and urban planning; scene understanding. Furthermore … Related articles

A multimedia information fusion framework for web image categorization W Lu, L Li, J Li, T Li, H Zhang, J Guo – Multimedia tools and applications, 2014 – Springer … Specifically, we initially analyze the textual description related to each image, and then obtain some original high-frequency terms in these texts by using MALLET [24], a java-based package for statistical natural language processing. … Related articles All 9 versions

A hierarchical knowledge-based approach for retrieving similar medical images described with semantic annotations C Kurtz, CF Beaulieu, S Napel, DL Rubin – Journal of biomedical …, 2014 – Elsevier … to as “bag-of-words” (BOW) [17]. BOW models have been successfully used in natural language processing [18] to capture a summary of the semantics of text based on word content. BOW models are represented as vectors … Cited by 4 Related articles All 6 versions

Object Recognition and Semantic Scene Labeling for RGB-D Data KKW Lai – 2014 – dlib.lib.washington.edu Page 1. c Copyright 2013 Kevin Kar Wai Lai Page 2. Page 3. Object Recognition and Semantic Scene Labeling for RGB-D Data Kevin Kar Wai Lai A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy University of Washington … Cited by 1 Related articles All 3 versions

Active image clustering with pairwise constraints from humans A Biswas, D Jacobs – International Journal of Computer Vision, 2014 – Springer … and Gupta 2010) propose an active technique for learning appearance and contextual models for scene understanding simultaneously. … Clustering has been an interesting topic of research in machine learning, computer vision and natural language processing for more than 50 … Cited by 3 Related articles All 5 versions

Visual search and recognition of objects, scenes and people J Sivic – 2014 – dumas.ccsd.cnrs.fr Page 1. Visual search and recognition of objects, scenes and people Josef Sivic To cite this version: Josef Sivic. Visual search and recognition of objects, scenes and people. Computer Vision and Pattern Recognition. Ecole Normale Supérieure de Paris – ENS Paris, 2014. … Related articles All 18 versions

A survey of affective brain computer interfaces: principles, state-of-the-art, and challenges C Mühl, B Allison, A Nijholt, G Chanel – Brain-Computer Interfaces, 2014 – Taylor & Francis … participant-independent manner. However, affective phenomena have turned out to be quite engaging to specialists from computer vision, natural language processing, and physiological computing. Therefore, researchers from … Cited by 5 Related articles All 15 versions

Identifying Latent Attributes from Video Scenes Using Knowledge Acquired From Large Collections of Text Documents AX Tran – 2014 – arizona.openrepository.com … 23 2.3 Natural Language Processing . . . . . 25 … munication is hearing what isn’t said.” It is not difficult to see that a similar concept also holds in the context of video scene understanding. In almost every non-trivial … Related articles All 2 versions

Conditional random field models for structured visual object recognition K Duan – 2014 – cs.indiana.edu … A brief example may be helpful to illustrate the use of CRFs in practice. Named entity recognition [86] in natural language processing applications which is the task of recognizing and classifying all proper nouns into pre-defined classes such as persons, … Related articles All 2 versions

Combining content analysis with usage analysis to better understand visual contents A Carlier – 2014 – oatao.univ-toulouse.fr … puter vision from Ayache [Ayache 1991]. This figure describes an inside scene understanding algorithm that has clearly no semantic meaning, but rather a metrological purpose. Figure 1.2: Cover photo of Nicholas Ayache’s book (Artificial vision for mobile robots, [Ayache 1991]) … Related articles All 3 versions

Continuous-Time Infinite Dynamic Topic Models: The Dim Sum Process for Simultaneous W Elshamy, WH Hsu – Emerging Methods in Predictive Analytics: …, 2014 – books.google.com … Page 215. Continuous-Time Infinite Dynamic Topic Models ing matrix.” In the field of signal processing, topic models were used in audio scene understanding, where audio signals were assumed to containlatent topics that generate acoustic words describing an audio scene. … All 2 versions

Data famine in big data era: machine learning algorithms for visual object recognition with limited training data Z Guo – 2014 – circle.ubc.ca … NLP Natural Language Processing … We also have such examples in other sub areas of computer vision, such as Labeled Face in the Wild (LFW), CMU Multi-PIE and Yale Face to face recognition, VOC Pascal to object detection, and Scene-15 and SUN to scene understanding. … Related articles All 2 versions

Weakly Supervised Learning for Structured Output Prediction P Mudigonda – 2014 – hal.archives-ouvertes.fr … M. Pawan Kumar and D. Koller “Efficiently Selecting Regions for Scene Understanding” In Proceedings of Conference on Computer Vision and Pattern Recognition (CVPR), 2010 … image analysis [2, 3, 68], natural language processing [39, 44] and many other areas of research. … Related articles All 8 versions

Weakly Supervised Learning for Structured Output Prediction MP Kumar – 2014 – tel.archives-ouvertes.fr … M. Pawan Kumar and D. Koller “Efficiently Selecting Regions for Scene Understanding” In Proceedings of Conference on Computer Vision and Pattern Recognition (CVPR), 2010 … image analysis [2, 3, 68], natural language processing [39, 44] and many other areas of research. … Related articles All 8 versions

2014 Index IEEE Transactions on Fuzzy Systems Vol. 22 JH Abawajy, C Abeykoon, M Adivar… – IEEE …, 2014 – ieeexplore.ieee.org … on Multiplicative Consistency; TFUZZ Dec. 2014 1669-1681 Lim, CH, Risnumawan, A., and Chan, CS, A Scene Image is Nonmutually Exclusive—A Fuzzy Qualitative Scene Understanding; TFUZZ Dec. 2014 1541-1556 Lin, C …

Virtual and real world adaptation for pedestrian detection D Vazquez, AM Lopez, J Marin… – Pattern Analysis and …, 2014 – ieeexplore.ieee.org … This problem is referred to as data set shift [27] and is receiving increasing atten- tion in the Machine Learning field [27], [28], [29] due to its relevance in areas like natural language processing, speech processing, and brain-computer interfaces, to mention a few. … Cited by 13 Related articles All 8 versions

Semi-supervised and Active Image Clustering with Pairwise Constraints from Humans A Biswas – 2014 – drum.lib.umd.edu Page 1. ABSTRACT Title of dissertation: Semi-supervised and Active Image Clustering with Pairwise Constraints from Humans Arijit Biswas, Doctor of Philosophy, 2014 Dissertation directed by: Prof. David W. Jacobs Department of Computer Science … Related articles All 2 versions