Kerneltron: support vector "machine" in silicon
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[1] Gert Cauwenberghs,et al. Charge-mode parallel architecture for vector-matrix multiplication , 2001 .
[2] Alan H. Kramer. Array-based analog computation , 1996, IEEE Micro.
[3] A. Chiang,et al. A programmable CCD signal processor , 1990, 1990 37th IEEE International Conference on Solid-State Circuits.
[4] E. Dijkstra,et al. On configurable oversampled A/D converters , 1993 .
[5] Hichem Sahbi,et al. Face detection using coarse-to-fine support vector classifiers , 2002, Proceedings. International Conference on Image Processing.
[6] Tomaso A. Poggio,et al. Regularization Theory and Neural Networks Architectures , 1995, Neural Computation.
[7] M. J. Howes,et al. Charge-coupled devices and systems , 1979 .
[8] Tomaso A. Poggio,et al. A general framework for object detection , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).
[9] Gert Cauwenberghs,et al. Massively parallel mixed-signal vlsi kernel machines , 2003 .
[10] Gert Cauwenberghs,et al. Charge-mode parallel architecture for matrix-vector multiplication , 2000, Proceedings of the 43rd IEEE Midwest Symposium on Circuits and Systems (Cat.No.CH37144).
[11] A. M. Chiang. A CCD programmable signal processor , 1990 .
[12] Amnon Yariv,et al. A parallel analog CCD/CMOS neural network IC , 1991, IJCNN-91-Seattle International Joint Conference on Neural Networks.
[14] Bernhard E. Boser,et al. A training algorithm for optimal margin classifiers , 1992, COLT '92.
[15] John C. Platt,et al. Fast training of support vector machines using sequential minimal optimization, advances in kernel methods , 1999 .
[16] Gert Cauwenberghs,et al. Stochastic Mixed-Signal VLSI Architecture for High-Dimensional Kernel Machines , 2001, NIPS.
[17] Vladimir N. Vapnik,et al. The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.
[18] Bernhard Schölkopf,et al. Comparing support vector machines with Gaussian kernels to radial basis function classifiers , 1997, IEEE Trans. Signal Process..
[19] Davide Anguita,et al. Circuital implementation of support vector machines , 1998 .
[20] Gert Cauwenberghs,et al. Delta-sigma algorithmic analog-to-digital conversion , 2002, 2002 IEEE International Symposium on Circuits and Systems. Proceedings (Cat. No.02CH37353).
[21] Federico Girosi,et al. Training support vector machines: an application to face detection , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[22] Ramesh Harjani,et al. FRC: a method for extending the resolution of Nyquist rate converters using oversampling , 1998 .
[23] Tomaso A. Poggio,et al. Pedestrian detection using wavelet templates , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[24] Gert Cauwenberghs,et al. Silicon Support Vector Machine with On-Line Learning , 2003, Int. J. Pattern Recognit. Artif. Intell..
[25] S. Sathiya Keerthi,et al. A fast iterative nearest point algorithm for support vector machine classifier design , 2000, IEEE Trans. Neural Networks Learn. Syst..
[26] Massimiliano Pontil,et al. Properties of Support Vector Machines , 1998, Neural Computation.
[27] Gert Cauwenberghs,et al. Incremental and Decremental Support Vector Machine Learning , 2000, NIPS.
[28] Volnei A. Pedroni,et al. Pattern matching and parallel processing with CCD technology , 1992, [Proceedings 1992] IJCNN International Joint Conference on Neural Networks.