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» Pose Classification Using Support Vector Machines
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107
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ICDAR
2009
IEEE
15 years 9 months ago
Online Recognition of Multi-Stroke Symbols with Orthogonal Series
We propose an efficient method to recognize multi-stroke handwritten symbols. The method is based on computing the truncated Legendre-Sobolev expansions of the coordinate functio...
Oleg Golubitsky, Stephen M. Watt
142
Voted
ICAC
2006
IEEE
15 years 8 months ago
Fast and Effective Worm Fingerprinting via Machine Learning
— As Internet worms become ever faster and more sophisticated, it is important to be able to extract worm signatures in an accurate and timely manner. In this paper, we apply mac...
Stewart M. Yang, Jianping Song, Harish Rajamani, T...
117
Voted
ICCV
2007
IEEE
16 years 4 months ago
Proximity Distribution Kernels for Geometric Context in Category Recognition
We propose using the proximity distribution of vectorquantized local feature descriptors for object and category recognition. To this end, we introduce a novel "proximity dis...
Haibin Ling, Stefano Soatto
113
Voted
TSD
2005
Springer
15 years 8 months ago
A Passage Retrieval System for Multilingual Question Answering
In this paper we present a new Question Answering (QA) system based on redundancy and a new Passage Retrieval (PR) method oriented to QA. We suppose that in a large enough document...
José Manuel Gómez Soriano, Manuel Mo...
NECO
2008
112views more  NECO 2008»
15 years 2 months ago
Second-Order SMO Improves SVM Online and Active Learning
Iterative learning algorithms that approximate the solution of support vector machines (SVMs) have two potential advantages. First, they allow for online and active learning. Seco...
Tobias Glasmachers, Christian Igel