Samy bengio (24 Ergebnisse)

Soft Cover. Zustand: Good. Lecture Notes in Computer Science, 4299. Usual ex-library features. The interior is clean and tight. Binding is good. Cover shows slight wear. 470 pages. Ex-Library.

Zustand: Very Good. 2006th Edition. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Zustand: Very Good. 2006th Edition. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.…

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Zustand: New. pp. 510 Illus.

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Zustand: Used. pp. 484 Illus.

Zustand: Used. pp. 484.

Hardcover. Zustand: As New. 1st Edition. As brand new.

Zustand: As New. Unread book in perfect condition.

Paperback. Zustand: Brand New. 1st edition. 470 pages. 9.25x6.75x1.00 inches. In Stock.

Kartoniert / Broschiert. Zustand: New.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the thoroughly refereed post-proceedings of the Third International Workshop on Machine Learning for Multimodal Interaction, MLMI 2006, held in Bethesda, MD, USA, in May 2006. The papers are organized in topical sections on multimodal processing, image and video processing, HCI and applications, discourse and dialogue, speech and audio processing, and NIST meeting recognition evaluation.…

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - MLMI 2004.- Accessing Multimodal Meeting Data: Systems, Problems and Possibilities.- Browsing Recorded Meetings with Ferret.- Meeting Modelling in the Context of Multimodal Research.- Artificial Companions.- Zakim - A Multimodal Software System for Large-Scale Teleconferencing.- Towards Computer Understanding of Human Interactions.- Multistream Dynamic Bayesian Network for Meeting Segmentation.- Using Static Documents as Structured and Thematic Interfaces to Multimedia Meeting Archives.- An Integrated Framework for the Management of Video Collection.- The NITE XML Toolkit Meets the ICSI Meeting Corpus: Import, Annotation, and Browsing.- S-SEER: Selective Perception in a Multimodal Office Activity Recognition System.- Mapping from Speech to Images Using Continuous State Space Models.- An Online Algorithm for Hierarchical Phoneme Classification.- Towards Predicting Optimal Fusion Candidates: A Case Study on Biometric Authentication Tasks.- Mixture of SVMs for Face Class Modeling.- AV16.3: An Audio-Visual Corpus for Speaker Localization and Tracking.- The 2004 ICSI-SRI-UW Meeting Recognition System.- On the Adequacy of Baseform Pronunciations and Pronunciation Variants.- Tandem Connectionist Feature Extraction for Conversational Speech Recognition.- Long-Term Temporal Features for Conversational Speech Recognition.- Speaker Indexing in Audio Archives Using Gaussian Mixture Scoring Simulation.- Speech Transcription and Spoken Document Retrieval in Finnish.- A Mixed-Lingual Phonological Component Which Drives the Statistical Prosody Control of a Polyglot TTS Synthesis System.- Shallow Dialogue Processing Using Machine Learning Algorithms (or Not).- ARCHIVUS: A System for Accessing the Content of Recorded Multimodal Meetings.- Piecing Together the Emotion Jigsaw.- EmotionAnalysis in Man-Machine Interaction Systems.- A Hierarchical System for Recognition, Tracking and Pose Estimation.- Automatic Pedestrian Tracking Using Discrete Choice Models and Image Correlation Techniques.- A Shape Based, Viewpoint Invariant Local Descriptor.…

Kartoniert / Broschiert. Zustand: New. This book constitutes the thoroughly refereed post-proceedings of the Second International Workshop on Machine Learning for Multimodal Interaction held in July 2005. The 38 revised full papers presented together with two invited papers were carefu.

Taschenbuch. Zustand: Neu. Machine Learning for Multimodal Interaction | Third International Workshop, MLMI 2006, Bethesda, MD, USA, May 1-4, 2006, Revised Selected Papers | Steve Renals (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2006 | Springer | EAN 9783540692676 | Verantwortliche Person für die EU: Springer Nature Customer Service Center GmbH, Europaplatz 3, 69115 Heidelberg, productsafety[at]springernature[dot]com | Anbieter: preigu.…

Taschenbuch. Zustand: Neu. Neuware - This book constitutes the thoroughly refereed post-proceedings of the Second International Workshop on Machine Learning for Multimodal Interaction held in July 2005. The 38 revised full papers presented together with two invited papers were carefully selected during two rounds of reviewing and revision. The papers are organized in topical sections on multimodal processing, HCI and applications, discourse and dialogue, emotion, visual processing, speech and audio processing, and NIST meeting recognition evaluation.…

Zustand: New. pp. xiii + 253 Illus.

Zustand: As New. Unread book in perfect condition.

Zustand: New. 2009. 1st Edition. Hardcover. This book discusses large margin and kernel methods for speech and speaker recognition Speech and Speaker Recognition: Large Margin and Kernel Methods is a collation of research in the recent advances in large margin and kernel methods, as applied to the field of speech and speaker recognition. Editor(s): Keshet, Joseph; Bengio, Samy. Num Pages: 268 pages, Illustrations, plans. BIC Classification: UYQS. Category: (P) Professional & Vocational. Dimension: 249 x 173 x 20. Weight in Grams: 598. . . . . . Books ship from the US and Ireland.…

Gebunden. Zustand: New. Dr Joseph Keshet, IDIAP, SwitzerlandDr Keshet received his B.Sc. and M.Sc. in electrical engineering from the Tel-Aviv University, Tel-Aviv, Israel, in 1994 and 2002, respectively. He got his Ph.D. from the Hebrew University of Jerusalem, Israel in 2007. Fr.

Zustand: gut. Automatic Speech and Speaker Recognition: Large Margin and Kernel Methods In englischer Sprache. pages.

Buch. Zustand: Neu. Neuware - This book discusses large margin and kernel methods for speech and speaker recognitionSpeech and Speaker Recognition: Large Margin and Kernel Methods is a collation of research in the recent advances in large margin and kernel methods, as applied to the field of speech and speaker recognition. It presents theoretical and practical foundations of these methods, from support vector machines to large margin methods for structured learning. It also provides examples of large margin based acoustic modelling for continuous speech recognizers, where the grounds for practical large margin sequence learning are set. Large margin methods for discriminative language modelling and text independent speaker verification are also addressed in this book.Key Features:\* Provides an up-to-date snapshot of the current state of research in this field\* Covers important aspects of extending the binary support vector machine to speech and speaker recognition applications\* Discusses large margin and kernel method algorithms for sequence prediction required for acoustic modeling\* Reviews past and present work on discriminative training of language models, and describes different large margin algorithms for the application of part-of-speech tagging\* Surveys recent work on the use of kernel approaches to text-independent speaker verification, and introduces the main concepts and algorithms\* Surveys recent work on kernel approaches to learning a similarity matrix from dataThis book will be of interest to researchers, practitioners, engineers, and scientists in speech processing and machine learning fields.…