Signal theory for SVM kernel design with applications to parameter estimation and sequence kernels
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Robert I. Damper | Steve R. Gunn | James D. B. Nelson | Baofeng Guo | S. Gunn | R. Damper | J. Nelson | B. Guo
[1] Gérard Chollet,et al. Swiss French PolyPhone and PolyVar: telephone speech databases to model inter- and intra-speaker variability , 1996 .
[2] David A. Landgrebe,et al. Hyperspectral image data analysis , 2002, IEEE Signal Process. Mag..
[3] Hakan Melin,et al. DATABASES FOR SPEAKER RECOGNITION: ACTIVITIES IN COST250 WORKING GROUP 2 , 1999 .
[4] Peng Du,et al. SELF ADAPTIVE SUPPORT VECTOR MACHINES AND AUTOMATIC FEATURE SELECTION , 2004 .
[5] B. Guo,et al. Hyperspectral image fusion using spectrally weighted kernels , 2005, 2005 7th International Conference on Information Fusion.
[6] Douglas A. Reynolds,et al. Robust text-independent speaker identification using Gaussian mixture speaker models , 1995, IEEE Trans. Speech Audio Process..
[7] G. Wahba,et al. A Correspondence Between Bayesian Estimation on Stochastic Processes and Smoothing by Splines , 1970 .
[8] Robert I. Damper,et al. Improving speaker identification in noise by subband processing and decision fusion , 2003, Pattern Recognit. Lett..
[9] Rameswar Debnath,et al. Analyzing the Behavior of Distribution of Data in the Feature Space of SVM with Gaussian Kernel , 2004 .
[10] Nello Cristianini,et al. Learning the Kernel Matrix with Semidefinite Programming , 2002, J. Mach. Learn. Res..
[11] Samy Bengio,et al. A Max Kernel For Text-Independent Speaker Verification Systems , 2006 .
[12] Bernhard Schölkopf,et al. The connection between regularization operators and support vector kernels , 1998, Neural Networks.
[13] Richard Bellman,et al. Adaptive Control Processes: A Guided Tour , 1961, The Mathematical Gazette.
[14] Saldju Tadjudin,et al. CLASSIFICATION OF HIGH DIMENSIONAL DATA WITH LIMITED TRAINING SAMPLES , 1998 .
[15] Tatsuya Akutsu,et al. Protein homology detection using string alignment kernels , 2004, Bioinform..
[16] N. Higham. COMPUTING A NEAREST SYMMETRIC POSITIVE SEMIDEFINITE MATRIX , 1988 .
[17] J. Mercer. Functions of positive and negative type, and their connection with the theory of integral equations , 1909 .
[18] James D. B. Nelson,et al. The construction of some Riesz basis families and their application to coe-cient quantization, sampling theory, and wavelet analysis. , 2001 .
[19] Tomaso A. Poggio,et al. Regularization Theory and Neural Networks Architectures , 1995, Neural Computation.
[20] Robert I. Damper,et al. Band Selection for Hyperspectral Image Classification Using Mutual Information , 2006, IEEE Geoscience and Remote Sensing Letters.
[21] Mikhail Belkin,et al. Semi-Supervised Learning on Riemannian Manifolds , 2004, Machine Learning.
[22] William M. Campbell,et al. Support vector machines for speaker and language recognition , 2006, Comput. Speech Lang..
[23] J. Anthony Gualtieri,et al. Support vector machines for hyperspectral remote sensing classification , 1999, Other Conferences.