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ICIC
2005
Springer
16 years 5 days ago
Methods of Decreasing the Number of Support Vectors via k-Mean Clustering
This paper proposes two methods which take advantage of k -mean clustering algorithm to decrease the number of support vectors (SVs) for the training of support vector machine (SVM...
Xiao-Lei Xia, Michael R. Lyu, Tat-Ming Lok, Guang-...
DATE
2003
IEEE
87views Hardware» more  DATE 2003»
15 years 12 months ago
FPGA-Based Implementation of a Serial RSA Processor
In this paper we present an hardware implementation of the RSA algorithm for public-key cryptography. The RSA algorithm consists in the computation of modular exponentials on larg...
Antonino Mazzeo, Luigi Romano, Giacinto Paolo Sagg...
ECCV
2010
Springer
15 years 11 months ago
Detecting Faint Curved Edges in Noisy Images
A fundamental question for edge detection is how faint an edge can be and still be detected. In this paper we offer a formalism to study this question and subsequently introduce a...
STOC
1992
ACM
100views Algorithms» more  STOC 1992»
15 years 10 months ago
Biased Random Walks
How much can an imperfect source of randomness affect an algorithm? We examine several simple questions of this type concerning the long-term behavior of a random walk on a finite...
Yossi Azar, Andrei Z. Broder, Anna R. Karlin, Nath...
NIPS
2007
15 years 8 months ago
Regularized Boost for Semi-Supervised Learning
Semi-supervised inductive learning concerns how to learn a decision rule from a data set containing both labeled and unlabeled data. Several boosting algorithms have been extended...
Ke Chen 0001, Shihai Wang