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KDD
2001
ACM
145views Data Mining» more  KDD 2001»
16 years 3 months ago
Proximal support vector machine classifiers
Given a dataset, each element of which labeled by one of k labels, we construct by a very fast algorithm, a k-category proximal support vector machine (PSVM) classifier. Proximal s...
Glenn Fung, Olvi L. Mangasarian
DCC
1995
IEEE
15 years 6 months ago
Constrained-Storage Vector Quantization with a Universal Codebook
— Many image compression techniques require the quantization of multiple vector sources with significantly different distributions. With vector quantization (VQ), these sources ...
Sangeeta Ramakrishnan, Kenneth Rose, Allen Gersho
BMCBI
2006
158views more  BMCBI 2006»
15 years 3 months ago
Parallelization of multicategory support vector machines (PMC-SVM) for classifying microarray data
Background: Multicategory Support Vector Machines (MC-SVM) are powerful classification systems with excellent performance in a variety of data classification problems. Since the p...
Chaoyang Zhang, Peng Li, Arun Rajendran, Youping D...
ICMCS
2006
IEEE
159views Multimedia» more  ICMCS 2006»
15 years 9 months ago
Image Vector Quantization Indices Recovery using Lagrange Interpolation
Vector quantization (VQ) is an efficient coding algorithm due to its fast decoding efficiency. Indices of VQ will be lost during the transmission because of the signal interferenc...
Yung-Gi Wu, Chia-Hao Wu
SIGCOMM
2003
ACM
15 years 8 months ago
Network routing with path vector protocols: theory and applications
Path vector protocols are currently in the limelight, mainly because the inter-domain routing protocol of the Internet, BGP (Border Gateway Protocol), belongs to this class. In th...
João L. Sobrinho