entropy guided transformation learning algorithms and applications

... Semi-random+Random Noise. Subspace is deterministic, but samples in each subspace are drawn uniformly at random, noise is random. • Fully random. Both subspace and samples are drawn uniformly at random; ... of practical algorithms. Two dominant classes of approaches are nuclear norm minimization, e.g. Candes and Plan [21], Candes and Recht [24], Cand`es et al. [27], Chen et al. [39], and matrix factorization, ... data+random noise • semi-random data+random noise • fully random model. 3.3 Main Results 3.3.1 Deterministic Model We start by defining two concepts adapted from Soltanolkotabi and Candes’s

Ngày tải lên: 02/10/2015, 15:50

... Semi-random+Random Noise. Subspace is deterministic, but samples in each subspace are drawn uniformly at random, noise is random. • Fully random. Both subspace and samples are drawn uniformly at random; ... of practical algorithms. Two dominant classes of approaches are nuclear norm minimization, e.g. Candes and Plan [21], Candes and Recht [24], Cand`es et al. [27], Chen et al. [39], and matrix factorization, ... data+random noise • semi-random data+random noise • fully random model. 3.3 Main Results 3.3.1 Deterministic Model We start by defining two concepts adapted from Soltanolkotabi and Candes’s

Ngày tải lên: 02/10/2015, 17:14

... Adaptation, Learning, and Optimization 16 Fuchen Sun Kar-Ann Toh Manuel Grana Romay Kezhi Mao Editors Extreme Learning Machines 2013: Algorithms and Applications Adaptation, Learning, and Optimization ... Learning Machines 2013: Algorithms and Applications, Adaptation, Learning, and Optimization 16, DOI: 10.1007/978-3-319-04741-6_1, © Springer International Publishing Switzerland 2014 D Becerra-Alonso ... 80 and 100 %), (2) Gaussian Noise (with mean = and variance 0.001, 0.01, 0.03 and 0.05), (3) JPEG (compression ratio = 5, 25, 50, 75 and 90 %), (4) Frame dropping (10, 30, 50, 70 and 90 %), and

Ngày tải lên: 12/04/2019, 00:12

... Adaptation, Learning, and Optimization 16 Fuchen Sun Kar-Ann Toh Manuel Grana Romay Kezhi Mao Editors Extreme Learning Machines 2013: Algorithms and Applications Adaptation, Learning, and Optimization ... Learning Machines 2013: Algorithms and Applications, Adaptation, Learning, and Optimization 16, DOI: 10.1007/978-3-319-04741-6_1, © Springer International Publishing Switzerland 2014 D Becerra-Alonso ... 80 and 100 %), (2) Gaussian Noise (with mean = and variance 0.001, 0.01, 0.03 and 0.05), (3) JPEG (compression ratio = 5, 25, 50, 75 and 90 %), (4) Frame dropping (10, 30, 50, 70 and 90 %), and

Ngày tải lên: 05/11/2019, 14:26

... network and 8 R Tiwari and M.T Thai two positive integers k and m, find a subset C Â V with a minimum size and satisfying the following conditions:... case, and the formulations of [4] and ... Model and Problem Definition In this chapter, we study the fault tolerant... denotes our solution to the 1; m/ SCDS Let BLUE and BLACK be the set of blue and black nodes in G and BLUE 0 and ... emcrapar@nps.edu V.L Boginski et al (eds.), Sensors: Theory, Algorithms, and Applications, Springer Optimization and Its Applications 61, DOI 10.1007/978-0-387-88619-0 2, © Springer

Ngày tải lên: 29/05/2014, 20:30

... 2006 8:16 Dynamic Speech Models Theory, Algorithms, and Applications Li Deng Microsoft Research Redmond, Washington, USA SYNTHESIS LECTURES ON SPEECH AND AUDIO PROCESSING #2 M &C Morgan & ... analyses? And finally, how can we incorporate the knowledge of speech dynamics into computerized speech analysis and recognition algorithms? The answers to all these questions require building and applying ... scientific studies help understand why humans speak as they do and how humans exploit redundancy and variability by way of multitiered dynamic processes to enhance the efficiency and effectiveness of human

Ngày tải lên: 06/08/2014, 00:21

... estimation and decoding algorithms developed and described in this chapter are based on rigorous EM and dynamic programming techniques. Applications of this model and the related algorithms to ... hypotheses, predicting new phenomena, and forming new theories. Such scientific studies help understand why humans speak as they do and how humans exploit redundancy and variability by way of multitiered ... main body of this book consists of four chapters. They cover theory, algorithms, and applications of dynamic speech models and survey in a comprehensive manner the research work in this area spanning

Ngày tải lên: 06/08/2014, 00:21

... articulatory control and target, which provides the interface between the discrete phonological units to the continuous phonetic variable and which represents the “ideal” articulation and its inherent ... examples are provided in [2]), and by running simulations in detailed articulatory and auditory models. This particular proposal for using the joint articulatory, acoustic, and auditory properties to ... as proposed in [33] and called the “target dynamic” model, uses vocal tract constrictions (degrees and locations) instead of artic- ulatory parameters as the target vector, and uses a geometrically

Ngày tải lên: 06/08/2014, 00:21

... advantage of the forward–backward algorithm and dynamic programming in model parameter learning and decoding. Without discretization, the parameter learning and decoding problems would be typically ... trajectory models and recursively defined dynamic models can achieve a similar level of modeling accuracy but they demand very different algorithm development for model parameter learning and for speech ... computational framework for speech dynamics (Chapter 2) and Chapters 4 and 5 on detailed descriptions of two specific implementation strategies and algorithmsfor hidden dynamic models. The theme ofthis

Ngày tải lên: 06/08/2014, 00:21

... frequency and bandwidth variables to the cepstrum, while nonlinear, is well behaved. That is, the relationship is smooth, and there is no sharp discontinuity. Second, for a fixed resonance bandwidth, ... a function of the resonance frequency and bandwidth (n = 1 and f s = 8000 Hz) reducethepeakcepstralvaluesonlyfrom1.9844to1.4608(computedby2 exp(−20π/8000 )and 2 exp(−800π/8000),respectively). Thecorresponding ... Resonance bandwidth (Hz) Resonance frequency (Hz) FIGURE 4.3: Fifth-order cepstral value of a one-pole (single-resonance) filter as a function of the resonance frequency and bandwidth n = 5 and f s

Ngày tải lên: 06/08/2014, 00:21

... to run the parameter learning and decoding algorithms in a manner that is not only tractable but also efficient. While the description of the parameter learning and decoding algorithms earlier in ... frequencies and four bandwidths x = ( f 1 , f 2 , f 3 , f 4 , b 1 , b 2 , b 3 , b 4 )) are used as presented in detail inSection 4.2.3,it is important to address the issue related to the algorithms? ?? ... hidden dynamics, one obvious difficulty for the training and tracking algorithms presented earlier is the high computational cost in summing and in searching over P1: IML/FFX P2: IML MOBK024-04 MOBK024-LiDeng.cls

Ngày tải lên: 06/08/2014, 00:21

... conducted [124] aimed at evaluating the HTM and the parameter learning algorithms described in this chapter. The standard TIMIT phone set with 48 labels is expanded to 58 (as described in [9]) in training ... implementation strategies and approximations (such as variational learning and decoding) are possible We have given some related references at the beginning of this chapter As a summary and conclusion ... framework, algorithmic development and technological needs and two selected applications for dynamic speech modeling, which... (non-exhaustive) research groups and individual researchers

Ngày tải lên: 06/08/2014, 00:21

... technical papers and book chapters, and is inventor and co-inventor of numerous U.S and international patents He co-authored the book Speech Processing—A Dynamic and Optimization-Oriented ... Hardcastle and A. Marchal (eds.), Speech Production and Speech Modeling, Kluwer, Norwell, MA, 1990, pp. 403–439. [61] N. Chomsky and M. Halle. The Sound Pattern of English, Harper and Row, New ... Bazzi, and A. Acero. “Tracking vocal tract resonances using an analytical nonlinear predictor and a target -guided temporal constraint,” Proceedings of the Eu- rospeech, Vol. I, Geneva, Switzerland,

Ngày tải lên: 06/08/2014, 00:21

... SPEECH ENHANCEMENT, MODELING AND RECOGNITION – ALGORITHMS AND APPLICATIONS Edited by S Ramakrishnan Speech Enhancement, Modeling and Recognition – Algorithms and Applications Edited by S Ramakrishnan ... Professor and Head Department of Electronics and Communication Engineering Dr Mahalingam College of Engineering and Technology India 124 Speech Enhancement, Modeling and Recognition – Algorithms and Applications ... Enhancement, Modeling and Recognition – Algorithms and Applications No.of Subjects (Total, Male, female and age and time & days taken) Geneva Airport Total =109 Lost Luggage Study (Scherer and Ceschi,1997,

Ngày tải lên: 06/12/2015, 15:52

... keep me sane and happy during the past four years: Shamim Akhtar, Jaime Brandwood, Kaya Busch, Sami Busch, Kris Cudmore, James Devenish, Andrew Dodd, Fabienne Kwan, Andrew Murray vi and too many ... you are! My deepest gratitude and appreciation is reserved for my parents and sister Without their constant love, support and encouragement and without their stories and down-to-earth banter to ... a randomly selected training set We present theoretical motivation and an algorithm for performing active learning with support vector machines We apply our algorithm to text categorization and

Ngày tải lên: 01/06/2018, 14:50

... book, we create several novel algorithms for supervised learning and unsupervised learning We center our discussion on the feasibility and the efficiency of multi-source learning on large scale heterogeneous ... Training genes and Candidate genes Prioritization by Homo sapiens Training genes and Candidate genes Prioritization Prioritizationby by Homo sapiens Mus musculus Training genes and Candidate genes ... Yu, Léon-Charles Tranchevent, Bart De Moor, and Yves Moreau Kernel-based Data Fusion for Machine Learning Methods and Applications in Bioinformatics and Text Mining 123 Dr Shi Yu Prof Dr Bart

Ngày tải lên: 12/04/2019, 00:12

... Methods and Applications Li Deng and Dong Yu Deep Learning: Methods and Applications provides an overview of general deep learning methodology and its applications to a variety of signal and information ... Chicago, and Professor at the Tokyo Institute of Technology 7:3-4 Deep Learning Methods and Applications Li Deng and Dong Yu Li Deng and Dong Yu Deep Learning: Methods and Applications is a timely and ... Methods and Applications Li Deng and Dong Yu Deep Learning: Methods and Applications provides an overview of general deep learning methodology and its applications to a variety of signal and information

Ngày tải lên: 12/04/2019, 00:33

... Methods and Applications Li Deng and Dong Yu Deep Learning: Methods and Applications provides an overview of general deep learning methodology and its applications to a variety of signal and information ... Chicago, and Professor at the Tokyo Institute of Technology 7:3-4 Deep Learning Methods and Applications Li Deng and Dong Yu Li Deng and Dong Yu Deep Learning: Methods and Applications is a timely and ... Methods and Applications Li Deng and Dong Yu Deep Learning: Methods and Applications provides an overview of general deep learning methodology and its applications to a variety of signal and information

Ngày tải lên: 12/04/2019, 15:33

... discussed Present and future issues that can arise concerning machine learning and its applications are brought to light, along with problems it may solve 6.1 Machine Learning and Artificial Intelligence ... Signals and Systems C HALMERS U NIVERSITY OF T ECHNOLOGY Gothenburg, Sweden 2017 EX004/2017 Master’s thesis EX004/2017 Deep Learning Methods and Applications Classification of Traffic Signs and Detection ... 2017 iv Deep Learning Methods and Applications Classification of Traffic Signs and Detection of Alzheimer’s Disease from Images LINNÉA CLAESSON, BJÖRN HANSSON Department of Signals and Systems

Ngày tải lên: 13/04/2019, 01:24

... G´eron, Hands-on machine learning with Scikit-Learn and TensorFlow: concepts, tools, and techniques to build intelligent systems ” O’Reilly Media, Inc.”, 2017 [15] F A Gers, J Schmidhuber, and F ... VIETNAM NATIONAL UNIVERSITY, HANOI UNIVERSITY OF ENGINEERING AND TECHNOLOGY Nguyen Minh Trang ADVANCED DEEP LEARNING METHODS AND APPLICATIONS IN OPEN-DOMAIN QUESTION ANSWERING MASTER THESIS Major: ... 1.1.2 Difficulties and Challenges 1.2 Deep learning 1.3 Objectives and Thesis Outline 1 Background knowledge and Related work

Ngày tải lên: 14/10/2019, 23:50