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» On the Learnability of Vector Spaces
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ICMCS
2005
IEEE
85views Multimedia» more  ICMCS 2005»
15 years 3 months ago
Fast Search Method for Image Vector Quantization Based on Equal-Average Equal-Variance and Partial Sum Concept
The encoding process of image vector quantization (VQ) is very heavy due to it performing a lot of k-dimensional Euclidean distance computations. In order to speed up VQ encoding,...
Zhibin Pan, Koji Kotani, Tadahiro Ohmi
CHI
2000
ACM
15 years 2 months ago
HandSCAPE: a vectorizing tape measure for on-site measuring applications
We introduce HandSCAPE, an orientation-aware digital tape measure, as an input device for digitizing field measurements, and visualizing the volume of the resulting vectors with c...
Jay Lee, Victor Su, Sandia Ren, Hiroshi Ishii
CORR
2010
Springer
149views Education» more  CORR 2010»
14 years 10 months ago
Using Rough Set and Support Vector Machine for Network Intrusion Detection
The main function of IDS (Intrusion Detection System) is to protect the system, analyze and predict the behaviors of users. Then these behaviors will be considered an attack or a ...
Rung Ching Chen, Kai-Fan Cheng, Chia-Fen Hsieh
TNN
2008
182views more  TNN 2008»
14 years 9 months ago
Large-Scale Maximum Margin Discriminant Analysis Using Core Vector Machines
Abstract--Large-margin methods, such as support vector machines (SVMs), have been very successful in classification problems. Recently, maximum margin discriminant analysis (MMDA) ...
Ivor Wai-Hung Tsang, András Kocsor, James T...
GECCO
2005
Springer
195views Optimization» more  GECCO 2005»
15 years 3 months ago
Evolutionary strategies for multi-scale radial basis function kernels in support vector machines
In support vector machines (SVM), the kernel functions which compute dot product in feature space significantly affect the performance of classifiers. Each kernel function is suit...
Tanasanee Phienthrakul, Boonserm Kijsirikul