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SDM
2007
SIAM
81views Data Mining» more  SDM 2007»
14 years 11 months ago
A PAC Bound for Approximate Support Vector Machines
We study a class of algorithms that speed up the training process of support vector machines (SVMs) by returning an approximate SVM. We focus on algorithms that reduce the size of...
Dongwei Cao, Daniel Boley
MVA
2000
191views Computer Vision» more  MVA 2000»
14 years 11 months ago
Development of Visual Inspection System Based on Vector Analysis Technique
The present paper proposes a new concept of image processing method based on vector representation for visual inspection test. The method was applied to detect defects and extract...
Masatake Sakuma, Katsumi Kubo, Shigeru Kanemoto, T...
ECCC
2008
98views more  ECCC 2008»
14 years 9 months ago
Public-Key Cryptosystems from the Worst-Case Shortest Vector Problem
We construct public-key cryptosystems that are secure assuming the worst-case hardness of approximating the minimum distance on n-dimensional lattices to within small poly(n) fact...
Chris Peikert
101
Voted
ICASSP
2007
IEEE
15 years 4 months ago
A Self-Training Semi-Supervised Support Vector Machine Algorithm and its Applications in Brain Computer Interface
In this paper, we analyze the convergence of an iterative selftraining semi-supervised support vector machine (SVM) algorithm, which is designed for classi cation in small trainin...
Yuanqing Li, Huiqi Li, Cuntai Guan, Zhengyang Chin
85
Voted
ECML
2004
Springer
15 years 3 months ago
Experiments in Value Function Approximation with Sparse Support Vector Regression
Abstract. We present first experiments using Support Vector Regression as function approximator for an on-line, sarsa-like reinforcement learner. To overcome the batch nature of S...
Tobias Jung, Thomas Uthmann