vector quantization (36 Ergebnisse)

Zustand: Very Good. Very Good condition. A copy that may have a few cosmetic defects. May also contain light spine creasing or a few markings such as an owner's name, short gifter's inscription or light stamp. NOT AVAILABLE FOR SHIPMENT OUTSIDE OF THE UNITED STATES.

Hardcover. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1300grams, ISBN:0792391810.

The Annals of Applied Probability, 1997, Vol. 7, No. 3, 32 pages agrafées de 17x25 cm Bon état - Pour les envois hors de France, la tafication «livre & brochure» pour les frais de port a disparue.Les frais de port annoncés correspondent à une moyenne. Ils seront calculés au plus juste en fonction du poids de votre article.

Broschiert; Zustand: Gut. VI, 109, 32 S. : Ill., graph. Darst. ; 21 cm Das hier angebotene Buch befindet sich in einem ordentlichen Zustand. Sprache: Deutsch Gewicht in Gramm: 230.

Taschenbuch. Zustand: Neu. Neuware -Speaker Recognition is one of the most useful biometric recognition techniques in this world where insecurity is a major concern. This book introduces a method for speaker recognition on the basis of the individual information included in speech waves. This can mainly be divided into two parts speaker identification and speaker verification. Speaker Identification find outs which speaker has uttered the given speech and Speaker Verification verifies their identity. Speaker recognition technology is the most potential technology to create new services that will make our everyday lives more secured.Books on Demand GmbH, Überseering 33, 22297 Hamburg 52 pp. Englisch.

Taschenbuch. Zustand: Neu. Speaker Recognition using MFCC and Vector Quantization | Speaker Identification and Speaker verification | Grace John M. (u. a.) | Taschenbuch | 52 S. | Englisch | 2015 | LAP LAMBERT Academic Publishing | EAN 9783659691355 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Neuware -This book presents a novel approach for Face Recognition using ¿Vector Quantization¿. Face Recognition is one of the popular biometric techniques used in today¿s era. A face recognition system is a computer application for automatically identifying or verifying a person from a digital image or a video frame from a video source. Vector quantization is simple image compression technique. It is efficient for image coding because it reduces computational complexity. VQ compression is highly asymmetric in processing time: choosing an optimal codebook takes huge amounts of calculations, but decompression is lightning-fast¿only one table lookup per vector. This makes VQ an excellent choice for face recognition. In this book four different VQ algorithms namely LBG, KPE, KMCG and KFCG are used to observe the efficiency of face recognition system. Efficiency is calculated in terms of recognition rate and computational complexity. It has been observed that KPE, KMCG and KFCG outperform LBG which is known as benchmark in vector quantization. Proposed techniques are compared with traditional DCT and Walsh transform also. It proves better than transform techniques.Books on Demand GmbH, Überseering 33, 22297 Hamburg 96 pp. Englisch.

Taschenbuch. Zustand: Neu. Neuware -Automatic Speech Recognition (ASR) has progressed considerably over the past several decades, but still has not achieved the potential imagined at its very beginning. Almost all of the existing applications of ASR systems are PC based. This work is an attempt to develop a speech recognition system that is independent of any PC support and is small enough in size to be used in a daily use consumer appliance. The proposed system would recognize isolated word utterances from a limited vocabulary, provide speaker independence, require less memory and be cost-efficient compared to present ASR systems. In this system, isolated word recognition is performed by using Vector Quantization (VQ) and Mel-Frequency Cepstral Coefficient (MFCC). The final system has been implemented on a vero board with an ATMEGA32 microcontroller. Learning and recognition algorithm have been used to recognize the speech utterances.Books on Demand GmbH, Überseering 33, 22297 Hamburg 80 pp. Englisch.

Taschenbuch. Zustand: Neu. Face Recognition using Vector Quantization | A novel approach to Face Recognition | Prachi Natu (u. a.) | Taschenbuch | 96 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783659154317 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Vector Quantization based Speech Recognition System | Implementation of VQ based Isolated Word Recognition with Cepstral Coefficients | Md. Rabiul Islam (u. a.) | Taschenbuch | 80 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838368917 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Paperback. Zustand: Brand New. 144 pages. 8.66x5.87x0.43 inches. In Stock.

Taschenbuch. Zustand: Neu. Performance Analysis of Iteration-free Fractal Image Coding | Using Vector Quantization, Genetic Algorithm and Simulated Annealing Techniques | Nadira Banu Kamal | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783659164484 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Signature Recognition Using Clustering Techniques | Vector Quantization based Approach for Static Signature Recognition | Vinayak Bharadi (u. a.) | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783848447558 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Zustand: New. pp. 760 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.

Zustand: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | I am a university student. I want to share what I have learned among my studying journey. The book contains an interesting information in the Compression arena that may help you in your work.

Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | I am a university student. I want to share what I have learned among my studying journey. The book contains an interesting information in the Compression arena that may help you in your work.

Zustand: New. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 732 pages, biography. BIC Classification: TJK. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 39. Weight in Grams: 1231. . 1991. Hardback. . . . . Books ship from the US and Ireland.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Herb Caen, a popular columnist for the San Francisco Chronicle, recently quoted a Voice of America press release as saying that it was reorganizing in order to 'eliminate duplication and redundancy. ' This quote both states a goal of data compression and illustrates its common need: the removal of duplication (or redundancy) can provide a more efficient representation of data and the quoted phrase is itself a candidate for such surgery. Not only can the number of words in the quote be reduced without losing informa tion, but the statement would actually be enhanced by such compression since it will no longer exemplify the wrong that the policy is supposed to correct. Here compression can streamline the phrase and minimize the em barassment while improving the English style. Compression in general is intended to provide efficient representations of data while preserving the essential information contained in the data. This book is devoted to the theory and practice of signal compression, i. e. , data compression applied to signals such as speech, audio, images, and video signals (excluding other data types such as financial data or general purpose computer data). The emphasis is on the conversion of analog waveforms into efficient digital representations and on the compression of digital information into the fewest possible bits. Both operations should yield the highest possible reconstruction fidelity subject to constraints on the bit rate and implementation complexity.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Herb Caen, a popular columnist for the San Francisco Chronicle, recently quoted a Voice of America press release as saying that it was reorganizing in order to 'eliminate duplication and redundancy. ' This quote both states a goal of data compression and illustrates its common need: the removal of duplication (or redundancy) can provide a more efficient representation of data and the quoted phrase is itself a candidate for such surgery. Not only can the number of words in the quote be reduced without losing informa tion, but the statement would actually be enhanced by such compression since it will no longer exemplify the wrong that the policy is supposed to correct. Here compression can streamline the phrase and minimize the em barassment while improving the English style. Compression in general is intended to provide efficient representations of data while preserving the essential information contained in the data. This book is devoted to the theory and practice of signal compression, i. e. , data compression applied to signals such as speech, audio, images, and video signals (excluding other data types such as financial data or general purpose computer data). The emphasis is on the conversion of analog waveforms into efficient digital representations and on the compression of digital information into the fewest possible bits. Both operations should yield the highest possible reconstruction fidelity subject to constraints on the bit rate and implementation complexity.

Taschenbuch. Zustand: Neu. Neuware -In this collection, the reader can ¿nd recent advancements in self-organizing maps (SOMs) and learning vector quantization (LVQ), including progressive ideas on exploiting features of parallel computing. The collection is balanced in presenting novel theoretical contributions with applied results in traditional ¿elds of SOMs, such as visualization problems and data analysis. Besides, the collection further includes less traditional deployments in trajectory clustering and recent results on exploiting quantum computation. The presented book is worth interest to data analysis and machine learning researchers and practitioners, speci¿cally those interested in being updated with current developments in unsupervised learning, data visualization, and self-organization.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 132 pp. Englisch.

Taschenbuch. Zustand: Neu. Neuware -This book gathers papers presented at the 13th International Workshop on Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization (WSOM+), which was held in Barcelona, Spain, from the 26th to the 28th of June 2019. Since being founded in 1997, the conference has showcased the state of the art in unsupervised machine learning methods related to the successful and widely used self-organizing map (SOM) method, and extending its scope to clustering and data visualization. In this installment of the AISC series, the reader will find theoretical research on SOM, LVQ and related methods, as well as numerous applications to problems in fields ranging from business and engineering to the life sciences. Given the scope of its coverage, the book will be of interest to machine learning researchers and practitioners in general and, more specifically, to those looking for the latest developments in unsupervised learning and data visualization.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 356 pp. Englisch.

Taschenbuch. Zustand: Neu. Neuware -This book contains the articles from the international conference 11th Workshop on Self-Organizing Maps 2016 (WSOM 2016), held at Rice University in Houston, Texas, 6-8 January 2016. WSOM is a biennial international conference series starting with WSOM'97 in Helsinki, Finland, under the guidance and direction of Professor Tuevo Kohonen (Emeritus Professor, Academy of Finland). WSOM brings together the state-of-the-art theory and applications in Competitive Learning Neural Networks: SOMs, LVQs and related paradigms of unsupervised and supervised vector quantization.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 384 pp. Englisch.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - In this collection, the reader can find recent advancements in self-organizing maps (SOMs) and learning vector quantization (LVQ), including progressive ideas on exploiting features of parallel computing. The collection is balanced in presenting novel theoretical contributions with applied results in traditional fields of SOMs, such as visualization problems and data analysis. Besides, the collection further includes less traditional deployments in trajectory clustering and recent results on exploiting quantum computation. The presented book is worth interest to data analysis and machine learning researchers and practitioners, specifically those interested in being updated with current developments in unsupervised learning, data visualization, and self-organization.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book contains the articles from the international conference 11th Workshop on Self-Organizing Maps 2016 (WSOM 2016), held at Rice University inHouston, Texas, 6-8 January 2016. WSOM is a biennial international conference series starting with WSOM'97 in Helsinki, Finland, under the guidanceand direction of Professor Tuevo Kohonen (Emeritus Professor, Academy ofFinland). WSOM brings together the state-of-the-art theory and applicationsin Competitive Learning Neural Networks: SOMs, LVQs and related paradigmsof unsupervised and supervised vector quantization.The current proceedings present the expert body of knowledge of 93 authors from15 countries in 31 peer reviewed contributions. It includes papers and abstractsfrom the WSOM 2016 invited speakers representing leading researchers in thetheory and real-world applications of Self-Organizing Maps and Learning VectorQuantization: Professor Marie Cottrell (Universite Paris 1 Pantheon Sorbonne,France), Professor Pablo Estevez (University of Chile and Millennium Instituteof Astrophysics, Chile), and Professor Risto Miikkulainen (University of Texasat Austin, USA). The book comprises a diverse set of theoretical works on Self-Organizing Maps, Neural Gas, Learning Vector Quantization and related topics,and an excellent variety of applications to data visualization, clustering, classification, language processing, robotic control, planning, and to the analysis ofastronomical data, brain images, clinical data, time series, and agricultural data.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book gathers papers presented at the 13th International Workshop on Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization (WSOM+), which was held in Barcelona, Spain, from the 26th to the 28th of June 2019. Since being founded in 1997, the conference has showcased the state of the art in unsupervised machine learning methods related to the successful and widely used self-organizing map (SOM) method, and extending its scope to clustering and data visualization. In this installment of the AISC series, the reader will find theoretical research on SOM, LVQ and related methods, as well as numerous applications to problems in fields ranging from business and engineering to the life sciences. Given the scope of its coverage, the book will be of interest to machine learning researchers and practitioners in general and, more specifically, to those looking for the latest developments in unsupervised learning and data visualization.

Paperback. Zustand: Brand New. 356 pages. 9.25x6.10x0.94 inches. In Stock.

Zustand: New. Editor(s): Merenyi, Erzsebet; Mendenhall, Michael J.; O'Driscoll, Patrick. Series: Advances in Intelligent Systems and Computing. Num Pages: 383 pages, 24 black & white illustrations, 65 colour illustrations, biography. BIC Classification: UYQN. Category: (G) General (US: Trade). Dimension: 235 x 155 x 20. Weight in Grams: 587. . 2016. Paperback. . . . . Books ship from the US and Ireland.

Paperback. Zustand: Brand New. 384 pages. 9.00x6.00x1.00 inches. In Stock.

Taschenbuch. Zustand: Neu. Advances in Self-Organizing Maps and Learning Vector Quantization | Proceedings of the 10th International Workshop, WSOM 2014, Mittweida, Germany, July, 2-4, 2014 | Thomas Villmann (u. a.) | Taschenbuch | xii | Englisch | 2014 | Springer | EAN 9783319076942 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.