Genetic Algorithms & Dialog Systems 2014


Genetic Algorithm

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100 Best Clustering Algorithm Videos | 100 Best Java Neural Network Videos100 Best Neural Network Training Videos | 100 Best Neural Network Videos | Abstractive Summarization 2013 | Automatic Summarization & Neural Networks 2014Classification Algorithms In Dialog SystemsCognitive Engines | Computational Analogy | Grammatical Inference Systems | Learning Classifier & Dialog SystemsMetagrammar | Story Generation Systems 2013 | Summarization Systems


Tuning methodology for speech enhancement algorithms using a simulated conversational database and perceptual objective measures D Giacobello, J Wung, R Pichevar… – Hands-free Speech …, 2014 – ieeexplore.ieee.org … The genetic algorithm had a population of M “ 20 possible candidates, and the best N “ 4 were migrated to the next generation. … 81– 95, 2006. [30] A. Raux and M. Eskenazi, “A Finite-State Turn-Taking Model for Spo- ken Dialog Systems,” Proc. … Cited by 4 Related articles

Biomedical text mining: State-of-the-art, open problems and future challenges A Holzinger, J Schantl, M Schroettner, C Seifert… – … Discovery and Data …, 2014 – Springer … 6), 1070–1087 (2008) CrossRef; Yeh, JF, Wu, CH, Chen, MJ: Ontology-based speech act identification in a bilingual dialog system using partial … 2014); Mukherjee, I., Al-Fayoumi, M., Mahanti, P., Jha, R., Al-Bidewi, I.: Content analysis based on text mining using genetic algorithm. … Cited by 6 Related articles All 5 versions

Adaptive operator switching and solution space probability structure based genetic algorithm for information retrieval through pattern recognition J Dalai, SZ Hasan, B Sarkar… – Circuit, Power and …, 2014 – ieeexplore.ieee.org … Large-scale retrieval systems like Lockheed Dialogue system also came into picture during that decade itself … Genetic algorithms (GA) are heuristic search techniques inspired by Charles Darwin’s conception of survival of the fittest by means of natural selection [3]. GA, in general …

Speaker state recognition with neural network-based classification and self-adaptive heuristic feature selection M Sidorov, C Brester, E Semenkin… – Informatics in Control, …, 2014 – ieeexplore.ieee.org … Daridi, F., Kharma, N., and Salik, J. (2004). Parameter- less genetic algorithms: review and innovation. … In Minker, W., Lee, GG, Nakamura, S., and Mariani, J., editors, Spoken Dialogue Systems Technology and Design, pages 83–105. Springer New York. …

Speech-Based Emotion Recognition: Feature Selection by Self-Adaptive Multi-Criteria Genetic Algorithm M Sidorov, C Brester, W Minker, E Semenkin – lrec-conf.org … meanwhile such an opportunity might be useful in various applications, including improvement of the spoken dialogue systems (SDSs) performance … Our proposal uses a multi-objective genetic algorithm (MOGA), which is a heuristic algorithm of pseudo-boolean optimization, in … Cited by 1 Related articles

Evolving Optimal Spatial Allocation Policies for Complex and Uncertain Environments M Vallejo, DW Corne, V Rieser – Agents and Artificial Intelligence, 2014 – Springer … In the case of spoken dialogue systems, user simulations are build from small data set of real user interactions [ 7 ]. In future work, we … In the previous experiments we have used a variant of genetic algorithms which does not explicitly encode uncertainty endured by the model … Cited by 1 Related articles

A Decision Support System Framework for Public Project Portfolio Selection with Argumentation Theory L Cruz-Reyes, CM Trejo, FL Irrarragorri… – Recent Advances on …, 2014 – Springer … She identifies a set of rules necessary for a dialogue system; these can be divided into four groups: 1. Locution Rules … References. 1. Fernández-González, E., Vega-López, I., Navarro-Castillo, J.: Public portfolio selection combining genetic algorithms and mathematical decision … Related articles All 3 versions

An incremental structure learning approach for Bayesian Network S Li, J Zhang, B Sun, J Lei – Control and Decision Conference ( …, 2014 – ieeexplore.ieee.org … It is widely used in the fields of genetics [2] [3], natural spoken dialog system [4], device fault diagnosis [5] [6], brain sciences [7] [8]. Generally, learning a BN contains two components, structure learning and parameter … “A cooperative coevolutionary genetic algorithm for learning … Related articles All 2 versions

Developing Adaptive Agents Situated in Intelligent Virtual Environments JA Rincon, E Garcia, V Julian, C Carrascosa – Hybrid Artificial Intelligence …, 2014 – Springer … SM: A multi-agent system to solve the production-distribution planning problem for a supply chain: a genetic algorithm approach. … J., van Doesburg, W., Dignum, F.: Goal-based communication using BDI agents as virtual humans in training: An ontology driven dialogue system. … Related articles All 3 versions

The Effects of Alternate Name Generation in Textual Search for Geographic Information Systems C Gilchrist – 2014 – macs.hw.ac.uk … 29 9.4 Genetic Algorithms and Crowd Sourcing . . . . . … language systems. By improving precision it reduces the chance that a dialog system may need to handle an error, resulting in an additional dialog turn. In a spoken language system it is … Related articles

[BOOK] Artificial Intelligence Applications and Innovations: 10th IFIP WG 12.5 International Conference, AIAI 2014, Rhodes, Greece, September 19-21, 2014, … L Iliadis, I Maglogiannis, H Papadopoulos – 2014 – books.google.com … XVI Table of Contents A Practical Application of Evolving Fuzzy-Rule-Based Classifiers for the Development of Spoken Dialog Systems….. David Griol, José Antonio Iglesias, Agapito Ledezma, and Araceli Sanchis Sequence Matching Genetic Algorithm for Square … All 3 versions

Multi-adaptive Natural Language Generation using Principal Component Regression D Gkatzia, H Hastie, O Lemon – INLG 2014, 2014 – anthology.aclweb.org … In 5th Inter- national Conference on Genetic Algorithms. Albert Gatt, Francois Portet, Ehud Reiter, James Hunter, Saad Mahamood, Wendy Moncur, and So- mayajulu Sripada. … Adaptive referring expression generation in spoken dialogue systems: Evaluation with real users. … Related articles All 8 versions

Novel Chatterbot System Of Estimating Current User Interests By Means Of Web Information M Ueno, N Mori, K Matsumoto – computingonline.net Page 1. Miki Ueno, Naoki Mori, Keinosuke Matsumoto / Computing, 2012, Vol. 11, Issue 4, 375-382 375 NOVEL CHATTERBOT SYSTEM OF ESTIMATING CURRENT USER INTERESTS BY MEANS OF WEB INFORMATION Miki Ueno, Naoki Mori, Keinosuke Matsumoto … Related articles

The Effect of Voice Instruction on the Construction of Mental Model AHS Chan, U Proboyekti – Human-Computer Interaction. Advanced …, 2014 – Springer … found that users are willing to use and trust a speech dialog system [2]. Speech as an input method also has advantages such as simpler, faster and more convenient to use … The first task was to find out how many projects were supervised by Gloria Virginia on Genetic Algorithm. … Related articles All 2 versions

Hybrid Artificial Intelligence Systems MPAC de Carvalho, JSPM Wozniak, HQE Corchado – Springer … C. Pop, Levente Fuksz, and Andrei Horvat Marc A Framework to Develop Adaptive Multimodal Dialog Systems for Android … Krzysztof Wrobel, and Mateusz Watroba Automatic Lane Correction in DGGE Images by Using Hybrid Genetic Algorithms….. …

Partially Observed, Multi-objective Markov Games Y Chang, AL Erera, CC White III – arXiv preprint arXiv:1404.4388, 2014 – arxiv.org … This POMDP is used to determine the follower’s best response policy. A multi-objective genetic algorithm (MOGA) is used to create … 2.3 The multi-objective genetic algorithm Genetic algorithms, introduced by Holland (1975), are adaptive heuristic search tech- … Related articles All 4 versions

How Learning Capabilities Can Make Care Robots More Engaging? M Ben-Moussa, MA Fanourakis, C Tsiourti – contextawarerobotics.net … Early methods of teaching a robot have been to either program the action on the robot, or use reinforcement learning or genetic algorithms to let the robot learn the action on its own. … 2006. [55] B. Thomson, “Dialogue System Theory,” in Statistical Methods for Spoken Dialogue … Related articles All 2 versions

A Design of Memory-based Learning Classifier usign Genteic Strategy for Emotion Classification BJ Park, EH Jang, SH Kim, C Huh… – COGNITIVE 2014, The …, 2014 – thinkmind.org … Crossover Mutation Figure 2. General Flowchart of Genetic Algorithms … [2] A. Haag, S. Goronzy, P. Schaich, and J. Williams, “Emotion Recognition Using Bio-Sensors: First Step Towards an Automatic System,” Affective Dialogue Systems, Tutorial and Research Workshop, 2004. … Related articles

Towards the Automatic Recommendation of Musical Parameters based on Algorithm for Extraction of Linguistic Rules FC Espinoza, O López-Ortega… – Computación y …, 2014 – scielo.org.mx … compositions. Human evaluation acts as feedback to adjust genetic algorithms that create pieces of music [38]. Computacion y Sistemas Vol. 18, No. 3, 2014 pp. 637-647 ISSN 1405-5546 DOI: 10.13053/CyS-18-3-2048 Page 3. … Related articles All 9 versions

Emotion Pattern Recognition Using Physiological Signals X Niu, L Chen, H Xie, Q Chen, H Li – 2014 – sensorsportal.com … A music induction method was used to elicit natural emotional reactions from the subject, after calculating a sufficient amount of features from the raw signals, the genetic algorithm and the K-neighbor methods were tested to extract a new feature set consisting of the most … Related articles

Complete list of publications UP Engine – Journal of Ambient Intelligence and Smart …, 2014 – uni-ulm.de … E. Semenkin Speech-Based Emotion Recognition: Feature Selection by Self-Adaptive Multi-Criteria Genetic Algorithm International Conference … for User-centered Adaptive Dialogue Proceedings of the 5th International Workshop On Spoken Dialogue Systems (IWSDS), Springer … All 9 versions

Learner Group Creation and Utilization in Adaptive E-Learning Systems V VAGALE, L NIEDRITE – … Systems VIII: Selected Papers from the …, 2014 – books.google.com … The mechanism to classify learners that is based on k-nearest neighbor and genetic algorithms is offered in the paper [8]. Authors use data about elementary school students and determine student learning style for group classification. … In: User models in dialog systems. …

[BOOK] Hybrid Artificial Intelligence Systems: 9th International Conference, HAIS 2014, Salamanca, Spain, June 11-13, 2014, Proceedings M Polycarpou, AC De Carvalho, JS Pan, M Wo?niak… – 2014 – books.google.com … C. Pop, Levente Fuksz, and Andrei Horvat Marc A Framework to Develop Adaptive Multimodal Dialog Systems for Android … Krzysztof Wrobel, and Mateusz Watroba Automatic Lane Correction in DGGE Images by Using Hybrid Genetic Algorithms….. … All 3 versions

[BOOK] PRICAI 2014: Trends in Artificial Intelligence: 13th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2014, Gold Coast, QLD, Australia, … DN Pham, SB Park – 2014 – books.google.com … Emmanuel Hebrard, George Katsirelos, Zeynep Kiziltan, Nina Narodytska, and Toby Walsh A Multi-objective Genetic Algorithm for Model … 849 Noriko Otani, Shoko Shirakawa, and Masayuki Numao Dialogue Management in Spoken Dialogue System with Visual Feedback … All 2 versions

From here to AGI: A roadmap to the realization of human-level artificial general intelligence B Goertzel, G Yu – Neural Networks (IJCNN), 2014 International …, 2014 – ieeexplore.ieee.org … [18] R. Smigrodzki, B. Goertzel, C. Pennachin, L. Coelho, F. Prosdoscimi, and WD Parker, “Genetic algorithm for analysis of … Dialogue System • Ability to understand and produce se- quences of sentences embodying a co- herent, contextually relevant thought (in the game world … Related articles

Emotion Recognition in Real-world Conditions with Acoustic and Visual Features M Sidorov, W Minker – Proceedings of the 16th International Conference …, 2014 – dl.acm.org … Such opportunity can be useful in various applications, eg, im- provement of Spoken Dialogue Systems (SDSs) or monitor- ing agents … In addition, by applying feature selection techniques (principal component analysis, genetic algorithm-based feature selec- tion, etc.) for these … Related articles

Automatic Recognition of Personality Traits: A Multimodal Approach M Sidorov, S Ultes, A Schmitt – Proceedings of the 2014 Workshop on …, 2014 – dl.acm.org … Adding personality-dependency may be useful to build speaker-adaptive models, eg, to improve Spoken Dialogue Systems (SDSs) or … In addition, by applying feature selection tech- niques (principal component analysis, genetic algorithm-based feature selection, etc.) for these … Related articles

Using Improved BQPSO to Recognize Emotion Based on ECG? J CHENG, G LIU – Journal of Computational Information Systems, 2014 – jofcis.com … 0, early-maturing treatment is needed. In our paper, an adaptive mutation strategy of genetic algorithms is introduced to increase the diversity of swarm and make the particles to jump out of the local minima points. … Affective Dialogue Systems, 2004, 3068 : 36 48. … Related articles

Emotion Recognition and Depression Diagnosis by Acoustic and Visual Features: A Multimodal Approach M Sidorov, W Minker – Proceedings of the 4th International Workshop on …, 2014 – dl.acm.org … Such opportunity can be useful in various applications, eg, improvement of Spoken Dialogue Systems (SDSs) or mon- itoring agents in call … In ad- dition, by applying feature selection techniques (principal component analysis, genetic algorithm-based feature selec- tion, etc.) for … Cited by 2 Related articles

Hybrid continuous speech recognition systems by HMM, MLP and SVM: a comparative study E Zarrouk, YB Ayed, F Gargouri – International Journal of Speech …, 2014 – Springer … their sys- tem. Selouani and Alotaibi (Saon et al. 2010) presented Genetic Algorithms to adapt HMMs for non-native speech in a large vocabulary speech recognition system of MSA. Saon et al. (Kuo et al. 2010) described the … Cited by 1 Related articles All 3 versions

Prototype of an Adaptive Decision Support System for Interactive Scheduling with MetaCognition and User Modeling Experience A Madureira, S Gomes, B Cunha… – … (NaBIC), 2014 Sixth …, 2014 – ieeexplore.ieee.org … The applications of learning systems and natural language dialogue systems have been evolving to a set of applications concerning … [II] A. Madureira C. Ramos and Sc Silva, a Coordination Mechanism for Real World Scheduling Problems Using Genetic Algorithms, Proc. … Cited by 1 Related articles

Plan and intent recognition in a multi-agent system for collective box pushing N Ahmad, A Agah – Journal of Intelligent Systems, 2014 – degruyter.com … [27]. B. McEleney and G. O’Hare, Efficient dialogue using a probabilistic nested user model, in: Proceedings of the Fourth IJCAI Workshop on Knowledge and Reasoning in Practical Dialogue Systems, August 1, 2005, Edinburgh, Scotland, 2005. [28]. … Cited by 1 Related articles All 2 versions

Sentence Similarity Based on Semantic Vector Model Z Jingling, Z Huiyun, C Baojiang – P2P, Parallel, Grid, Cloud …, 2014 – ieeexplore.ieee.org … measures play an increasingly important role in text-related research and applications in areas such as text mining, Web page retrieval, and dialogue systems. … [7] J. Atkinson-Abutridy, C. Mellish, and S. Aitken, “Combining Information Extraction with Genetic Algorithms for Text …

CVX-optimized Beamforming and Vector Taylor Series Compensation with German ASR employing Star-shaped Microphone Array JA Morales-Cordovilla, H Pessentheiner… – Advances in Speech …, 2014 – Springer … The distant interaction of a speaker with a dialogue system, which controls some mechanisms of a house, is a difficult challenge … H., Kubin, G., Romsdorfer, H.: Improving beamforming for distant speech recognition in reverberant environments using a genetic algorithm for planar … Related articles All 5 versions

Large vocabulary Russian speech recognition using syntactico-statistical language modeling A Karpov, K Markov, I Kipyatkova, D Vazhenina… – Speech …, 2014 – Elsevier … for spontaneous speech recognition outputs is used for identification of verbal sub-categorization frames for dialogue systems and spoken … sentence is constructed from the recognized syllables by the designed co-evolutionary asymptotic probabilistic genetic algorithm (CAPGA … Cited by 14 Related articles All 4 versions

Towards crowdsourcing and cooperation in linguistic resources D Ustalov – arXiv preprint arXiv:1408.4245, 2014 – arxiv.org … computations such as games with a purpose, mechanized labor, wisdom of crowds, crowdsourcing, dual-purpose work, grand search, human-based genetic algorithms, and knowledge … 9 11. Suendermann, D., Pieraccini, R.: Crowdsourcing for Industrial Spoken Dialog Systems. … Related articles All 2 versions

Implication and Genetic Variations on Lipid Profile of the Fasting Respondent MR Rohayu Izanwati, MR Muhamad Ridhwan… – Interface – waset.org … 349. 16026. A Rigid Point Set Registration of Remote Sensing Images Based on Genetic Algorithms and Hausdorff Distance. … Related articles All 2 versions

Lexical Entrainment in Human Robot Interaction T Iio, M Shiomi, K Shinozawa, K Shimohara… – International Journal of …, 2014 – Springer … Consequently, lexical entrainment is necessary for smooth communication. Interestingly, lexical entrainment occurs in interactions not only between humans but also between a human and artificial media like spoken dialogue systems [5, 7, 15, 25, 32]. … Related articles

AIICS Publications: Conference and Workshop Publications P Doherty – 2014 – ida.liu.se Swedish web site. Search IDA.LiU.se. A — Z. LiU’s logotype LiUs logotype. AIICS Publications: Conference and Workshop Publications. …

Towards Multimodal Adaptive User Interfaces Z Eichler – is.muni.cz … Another interesting multimodal adaptive user interface is SmartKom project [51], which is multimodal dialogue system that combines speech, gesture … [58], whose purpose was a product eye-tracking driven recommendation based on interactive genetic algorithm, which used an … Related articles

Data analysis and integration of environmental sensors to meet human needs AF Santamaria, F De Rango… – SPIE Sensing …, 2014 – proceedings.spiedigitallibrary.org … [7] introduces Spoken Dialogue Systems (SDS) within ambient … Moreover, we would like to go forward making possible the habits recognition teaching the system using unconventionl methods such as Neural Network, Game Theory, Genetic Algorithm, Fuzzy Logic and so on. … Related articles All 3 versions

Means of Computer Modeling of Microwave Devices and Numerical Methods as Their Base OA Astafurova, NA Salnikova, NV Lopukhov – Knowledge-Based Software …, 2014 – Springer … Supporters of this approach suggest developing simpler clear dialogue systems. … The task of synthesis of structures is difficult formalizable that involves use of methods of the discrete optimization and heuristic morphological methods, and also genetic algorithms. …

[BOOK] HCI International 2014-Posters’ Extended Abstracts: International Conference, HCI International 2014, Heraklion, Crete, Greece, June 22-27, 2014. … C Stephanidis – 2014 – books.google.com … and iPad….. 156 Andrey Smorkalov, Mikhail Morozov, Mikhail Fominykh, and Ekaterina Prasolova-Førland Pilot Scenario Design for Evaluating a Metacognitive Skills Learning Dialogue System….. 162 … All 4 versions

Optimal Channel-Sensing Scheme for Cognitive Radio Systems Based on Fuzzy Q-Learning FH Panahi, T Ohtsuki – IEICE Transactions on Communications, 2014 – search.ieice.org Page 1. IEICE TRANS. COMMUN., VOL.E97–B, NO.2 FEBRUARY 2014 283 PAPER Special Section on Technologies for Effective Utilization of Spectrum White Space Optimal Channel-Sensing Scheme for Cognitive Radio Systems Based on Fuzzy Q-Learning … Related articles All 4 versions

Developing an HMM-Based Speech Synthesis System for Malay: A Comparison of Iterative and Isolated Unit Training MB Mustafa, ZM Don, RN Ainon… – … on Information and …, 2014 – search.ieice.org … 1. Introduction Speech technologies are now available for many languages, and they include a number of useful systems and interactive tools, such as automatic speech recognition (ASR), speech synthesis and spoken dialogue systems. … Related articles All 4 versions

LS-VisionDraughts: improving the performance of an agent for checkers by integrating computational intelligence, reinforcement learning and a powerful search … HC Neto, RMS Julia, GS Caexeta, ARA Barcelos – Applied Intelligence, 2014 – Springer … A Genetic Algorithm automatically chooses a concise and efficient set of functions, which describe various scenarios associated with Checkers – called features – to represent the board states in the input layer of the Neural Network. … Related articles All 3 versions

Affective communication robot partners using associative memory with mood congruency effects N Masuyama, M Islam, CK Loo – Robotic Intelligence In …, 2014 – ieeexplore.ieee.org … Using these raw data from Kinect, server PC calculates the object color and shape by k-means algorithm and Steady- State Genetic Algorithm (SSGA), and recognizes the hand gestures by Spiking Neural Networks (SNNs) [42] (Fig. … Related articles

Bio-insect and artificial robot interaction using cooperative reinforcement learning JH Son, YC Choi, HS Ahn – Applied Soft Computing, 2014 – Elsevier … 12], and traffic signal control [13]. Also, they have applied into spoken dialogue system [14], packet routing [15], production scheduling [16], traveling salesman problem [17], and resource allocation [18]. As a basic step, we have … Cited by 1 Related articles All 2 versions

The listening talker: A review of human and algorithmic context-induced modifications of speech M Cooke, S King, M Garnier, V Aubanel – Computer Speech & Language, 2014 – Elsevier Speech output technology is finding widespread application, including in scenarios where intelligibility might be compromised – at least for some listeners. Cited by 11 Related articles All 8 versions

Decision Making Intelligent Agent on SOX Compliance over the Imports Process JAF Canelas, QM Martin, JMC Rodriguez – Computer Engineering and …, 2014 – iiste.org Page 1. Computer Engineering and Intelligent Systems www.iiste.org ISSN 2222-1719 (Paper) ISSN 2222-2863 (Online) Vol.5, No.8, 2014 1 Decision Making Intelligent Agent on SOX Compliance over the Imports Process Jesus … Related articles All 4 versions

Associating targets with SentiUnits: a step forward in sentiment analysis of Urdu text AZ Syed, M Aslam, AM Martinez-Enriquez – Artificial Intelligence Review, 2014 – Springer Page 1. Artif Intell Rev DOI 10.1007/s10462-012-9322-6 Associating targets with SentiUnits: a step forward in sentiment analysis of Urdu text Afraz Z. Syed • Muhammad Aslam • Ana Maria Martinez-Enriquez © Springer Science+Business Media BV 2012 … Cited by 2 Related articles All 4 versions

State of Research of Speech Recognition M Sarma, KK Sarma – … -Based Speech Segmentation using Hybrid Soft …, 2014 – Springer … Phonemes are also described using these fuzzy measures, and recognition is done by normal fuzzy reasoning. A genetic algorithm optimizes phoneme definitions so that to classify samples into correct phonemes [ 41 ]. 15. … [ 69 ] where a spoken dialog system is designed to use … Related articles

Emotion Prediction from Physiological Signals: A Comparison Study Between Visual and Auditory Elicitors F Zhou, X Qu, JR Jiao… – Interacting with …, 2014 – iwc.oxfordjournals.org We use cookies to enhance your experience on our website. By continuing to use our website, you are agreeing to our use of cookies. You can change your cookie settings at any time. Find out more. Skip Navigation. … Cited by 4 Related articles All 4 versions

A Complete Bibliography of ACM Transactions on Asian Language Information Processing NHF Beebe – 2014 – tug.ctan.org … Page 14. REFERENCES 14 Kim:2003:RRE [37] Harksoo Kim and Jungyun Seo. Resolution of referring expressions in a Korean multimodal dialogue system. ACM Transactions on Asian Lan- guage Information Processing, 2(4):324–337, December 2003. CODEN ???? … Related articles All 9 versions

Introduction To Emotion Recognition A Konar, A Halder… – Emotion Recognition: A …, 2014 – media.johnwiley.com.au … HAF was introduced for an effi- cient extraction of the emotion-related EEG characteristics, developed by applying Genetic Algorithms (GA) to the Empirical Mode Decomposition (EMD) based rep- resentation of EEG signals. … Related articles All 2 versions

Bidirectional optimization of the melting spinning process X Liang, Y Ding, Z Wang, K Hao… – … IEEE Transactions on, 2014 – ieeexplore.ieee.org Page 1. 240 IEEE TRANSACTIONS ON CYBERNETICS, VOL. 44, NO. 2, FEBRUARY 2014 Bidirectional Optimization of the Melting Spinning Process Xiao Liang, Yongsheng Ding, Senior Member, IEEE, Zidong Wang, Senior … Cited by 2 Related articles All 6 versions

AIICS Publications: All Publications P Doherty – Logic journal of the IGPL (Print), 2014 – ida.liu.se Swedish web site. Search IDA.LiU.se. A — Z. LiU’s logotype LiUs logotype. AIICS Publications: All Publications. … All 4 versions

[BOOK] The Johns Hopkins guide to digital media ML Ryan, L Emerson, BJ Robertson – 2014 – books.google.com … Klevjer Cyberfeminism Kate Mondloch Cybernetics Bernard Geoghegan and Benjamin Peters Cyberpunk Lisa Swanstrom Cyberspace Marie-Laure Ryan Cyborg and Posthuman Raine Koskimaa Data Matthew Fuller Database Christiane Paul Dialogue Systems Jichen Zhu … Cited by 2 Related articles All 2 versions

Improving Quality of Service in Baseband Speech Communication PN Petkov – 2014 – diva-portal.org Page 1. Thesis for the degree of Doctor of Philosophy Improving Quality of Service in Baseband Speech Communication Petko Nikolov Petkov Communication Theory School of Electrical Engineering KTH – Royal Institute of Technology Stockholm 2014 Page 2. … Related articles All 2 versions

Hybrid video emotional tagging using users’ EEG and video content S Wang, Y Zhu, G Wu, Q Ji – Multimedia tools and applications, 2014 – Springer Page 1. Multimed Tools Appl DOI 10.1007/s11042-013-1450-8 Hybrid video emotional tagging using users’ EEG and video content Shangfei Wang•Yachen Zhu•Guobing Wu•Qiang Ji © Springer Science+Business Media New York 2013 … Cited by 5 Related articles All 7 versions

Harmonic/percussive sound separation based on anisotropic smoothness of spectrograms H Tachibana, N Ono, H Kameoka… – IEEE/ACM Transactions …, 2014 – dl.acm.org … depending on the initial value. There are some meta-heuristics to find a better solution in these kinds of optimization problems, such as testing many initial values, applying genetic algorithms, etc. Nevertheless, we avoided these … Related articles All 2 versions

The Taxobook: Principles and Practices of Building Taxonomies, Part 2 of a 3-Part Series MMK Hlava – … Lectures on Information Concepts, Retrieval, and …, 2014 – morganclaypool.com Page 1. H L A VA T H E T A X OBO OK : P AR T 2 MO R GAN & CL A YPOO L Marjorie MK Hlava Gary Marchionini, Series Editor MORGAN&CLAYPOOL PUBLISHERS SyntheSiS LectureS on information conceptS, retrievaL, and ServiceS Principles and Practices … Related articles All 4 versions