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hardcover. Zustand: Very Good. Multimodal Signal Processing: Human Interactions in Meetings This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping.

Zustand: Very Good. Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee.

Hardcover. Zustand: Wie neu. 352 S. Like new. Shrink wrapped. / Wie neu. In Folie verschweißt. Sprache: Englisch Gewicht in Gramm: 740.

1st ed. 15 x 23 cm. 352 pages. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.

Hardcover. Zustand: Brand New. 1st edition. 286 pages. 10.00x7.00x0.75 inches. In Stock.

Zustand: New. In.

Zustand: New. In.

Paperback. Zustand: Brand New. 2008 edition. 308 pages. 9.21x6.14x0.79 inches. In Stock.

Kartoniert / Broschiert. Zustand: New.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book contains a selection of revised papers from the 4th Workshop on Machine Learning for Multimodal Interaction (MLMI 2007), which took place in Brno, Czech Republic, during June 28 30, 2007. As in the previous editions of the MLMI series, the 26 chapters of this book cover a large area of topics, from multimodal processing and human computer interaction to video, audio, speech and language processing. The application of machine learning techniques to problems arising in these elds and the design and analysis of software s- portingmultimodalhuman humanandhuman computerinteractionarethetwo overarching themes of this post-workshop book. The MLMI 2007 workshop featured 18 oral presentations two invited talks, 14 regular talks and two special session talks and 42 poster presentations. The participants were not only related to the sponsoring projects, AMI/AMIDA and IM2 , but also to other largeresearchprojects onmultimodalprocessingand multimedia browsing,such as CALO and CHIL. Local universities were well represented, as well as other European, US and Japanese universities, research institutions and private c- panies, from a dozen countries overall.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book contains a selection of refereed papers presented at the 1st Wo- shop on Machine Learning for Multimodal Interaction (MLMI 2004), held at the Centre du Parc, Martigny, Switzerland, during June 21 23, 2004. The workshop was organized and sponsored jointly by three European projects, AMI, Augmented Multiparty Interaction, PASCAL, Pattern Analysis, Statistical Modeling and Computational Learning, M4, Multi-modal Meeting Manager, as well as the Swiss National Centre of Competence in Research (NCCR): IM2: Interactive Multimodal Information Management, MLMI 2004 was thus sponsored by the European Commission and the Swiss National Science Foundation. Given the multiple links between the above projects and several related - search areas, it was decided to organize a joint workshop bringing together - searchers from the di erent communities working around the common theme of advanced machine learning algorithms for processing and structuring mul- modal human interaction in meetings. The motivation for creating such a forum, which could be perceived as a number of papers from di erent research dis- plines, evolved from a real need that arose from these projects and the strong motivation of their partners for such a multidisciplinary workshop. This asse- ment was indeed con rmed by the success of this rst MLMI workshop, which attracted more than 200 participants.

Taschenbuch. Zustand: Neu. Machine Learning for Multimodal Interaction | 4th International Workshop, MLMI 2007, Brno, Czech Republic, June 28-30, 2007, Revised Selected Papers | Andrei Popescu-Belis (u. a.) | Taschenbuch | xi | Englisch | 2008 | Springer | EAN 9783540781547 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Machine Learning for Multimodal Interaction | First International Workshop, MLMI 2004, Martigny, Switzerland, June 21-23, 2004, Revised Selected Papers | Samy Bengio (u. a.) | Taschenbuch | xii | Englisch | 2005 | Springer | EAN 9783540245094 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Zustand: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.

Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 351 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 324 | Sprache: Englisch | Produktart: Bücher | This book contains a selection of revised papers from the 4th Workshop on Machine Learning for Multimodal Interaction (MLMI 2007), which took place in Brno, Czech Republic, during June 28¿30, 2007. As in the previous editions of the MLMI series, the 26 chapters of this book cover a large area of topics, from multimodal processing and human¿computer interaction to video, audio, speech and language processing. The application of machine learning techniques to problems arising in these ?elds and the design and analysis of software s- portingmultimodalhuman¿humanandhuman¿computerinteractionarethetwo overarching themes of this post-workshop book. The MLMI 2007 workshop featured 18 oral presentations¿two invited talks, 14 regular talks and two special session talks¿and 42 poster presentations. The participants were not only related to the sponsoring projects, AMI/AMIDA ([LINK ENTFERNT]) and IM2 ([LINK ENTFERNT]), but also to other largeresearchprojects onmultimodalprocessingand multimedia browsing,such as CALO and CHIL. Local universities were well represented, as well as other European, US and Japanese universities, research institutions and private c- panies, from a dozen countries overall.

Zustand: New. In.

Zustand: New. In.

Taschenbuch. Zustand: Neu. Connectionist Speech Recognition | A Hybrid Approach | Hervé A. Bourlard (u. a.) | Taschenbuch | The Springer International Series in Engineering and Computer Science | xxix | Englisch | 2012 | Springer | EAN 9781461364092 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Connectionist Speech Recognition: A Hybrid Approach describes the theory and implementation of a method to incorporate neural network approaches into state of the art continuous speech recognition systems based on hidden Markov models (HMMs) to improve their performance. In this framework, neural networks (and in particular, multilayer perceptrons or MLPs) have been restricted to well-defined subtasks of the whole system, i.e. HMM emission probability estimation and feature extraction. The book describes a successful five-year international collaboration between the authors. The lessons learned form a case study that demonstrates how hybrid systems can be developed to combine neural networks with more traditional statistical approaches. The book illustrates both the advantages and limitations of neural networks in the framework of a statistical systems. Using standard databases and comparison with some conventional approaches, it is shown that MLP probability estimation can improve recognition performance. Other approaches are discussed, though there is no such unequivocal experimental result for these methods. Connectionist Speech Recognition is of use to anyone intending to use neural networks for speech recognition or within the framework provided by an existing successful statistical approach. This includes research and development groups working in the field of speech recognition, both with standard and neural network approaches, as well as other pattern recognition and/or neural network researchers. The book is also suitable as a text for advanced courses on neural networks or speech processing.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Connectionist Speech Recognition: A Hybrid Approach describes the theory and implementation of a method to incorporate neural network approaches into state of the art continuous speech recognition systems based on hidden Markov models (HMMs) to improve their performance. In this framework, neural networks (and in particular, multilayer perceptrons or MLPs) have been restricted to well-defined subtasks of the whole system, i.e. HMM emission probability estimation and feature extraction. The book describes a successful five-year international collaboration between the authors. The lessons learned form a case study that demonstrates how hybrid systems can be developed to combine neural networks with more traditional statistical approaches. The book illustrates both the advantages and limitations of neural networks in the framework of a statistical systems. Using standard databases and comparison with some conventional approaches, it is shown that MLP probability estimation can improve recognition performance. Other approaches are discussed, though there is no such unequivocal experimental result for these methods. Connectionist Speech Recognition is of use to anyone intending to use neural networks for speech recognition or within the framework provided by an existing successful statistical approach. This includes research and development groups working in the field of speech recognition, both with standard and neural network approaches, as well as other pattern recognition and/or neural network researchers. The book is also suitable as a text for advanced courses on neural networks or speech processing.