Finite precision analysis of support vector machine classification in logarithmic number systems
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[1] Thanos Stouraitis,et al. Analysis of logarithmic number system processors , 1988 .
[2] Ophir Frieder,et al. Exploiting parallelism in pattern matching: an information retrieval application , 1991, TOIS.
[3] Jenq-Neng Hwang,et al. Finite Precision Error Analysis of Neural Network Hardware Implementations , 1993, IEEE Trans. Computers.
[4] Tony R. Martinez,et al. Priority ASOCS , 1994 .
[5] Tony R. Martinez,et al. A VLSI implementation of a parallel, self-organizing learning model , 1994, Proceedings of the 12th IAPR International Conference on Pattern Recognition, Vol. 2 - Conference B: Computer Vision & Image Processing. (Cat. No.94CH3440-5).
[6] Philip Heng Wai Leong,et al. A low-power VLSI arrhythmia classifier , 1995, IEEE Trans. Neural Networks.
[7] Marti A. Hearst. Trends & Controversies: Support Vector Machines , 1998, IEEE Intell. Syst..
[8] Bernhard Schölkopf,et al. Support Vector methods in learning and feature extraction , 1998 .
[9] Gert Cauwenberghs,et al. Learning on Silicon: Adaptive VLSI Neural Systems , 1999 .
[10] Ian H. Witten,et al. Data mining: practical machine learning tools and techniques, 3rd Edition , 1999 .
[11] Vladimir N. Vapnik,et al. The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.
[12] Gert Cauwenberghs,et al. Stochastic Mixed-Signal VLSI Architecture for High-Dimensional Kernel Machines , 2001, NIPS.
[13] Ralf Herbrich,et al. Learning Kernel Classifiers: Theory and Algorithms , 2001 .
[14] Mark G. Arnold. Reduced power consumption for MPEG decoding with LNS , 2002, Proceedings IEEE International Conference on Application- Specific Systems, Architectures, and Processors.
[15] Gert Cauwenberghs,et al. Silicon Support Vector Machine with On-Line Learning , 2003, Int. J. Pattern Recognit. Artif. Intell..
[16] Davide Anguita,et al. A digital architecture for support vector machines: theory, algorithm, and FPGA implementation , 2003, IEEE Trans. Neural Networks.
[17] Gert Cauwenberghs,et al. Kerneltron: support vector "machine" in silicon , 2003, IEEE Trans. Neural Networks.
[18] Bernhard Schölkopf,et al. A tutorial on support vector regression , 2004, Stat. Comput..
[19] Christopher J. C. Burges,et al. A Tutorial on Support Vector Machines for Pattern Recognition , 1998, Data Mining and Knowledge Discovery.