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JISE
2010
144views more  JISE 2010»
13 years 1 months ago
Variant Methods of Reduced Set Selection for Reduced Support Vector Machines
In dealing with large datasets the reduced support vector machine (RSVM) was proposed for the practical objective to overcome the computational difficulties as well as to reduce t...
Li-Jen Chien, Chien-Chung Chang, Yuh-Jye Lee
KDD
2012
ACM
166views Data Mining» more  KDD 2012»
11 years 8 months ago
Selecting a characteristic set of reviews
Online reviews provide consumers with valuable information that guides their decisions on a variety of fronts: from entertainment and shopping to medical services. Although the pr...
Theodoros Lappas, Mark Crovella, Evimaria Terzi
ETS
2011
IEEE
230views Hardware» more  ETS 2011»
12 years 6 months ago
Dynamic Test Set Selection Using Implication-Based On-Chip Diagnosis
—As circuits continue to scale to smaller feature sizes, wearout and latent defects are expected to cause an increasing number of errors in the field. Online error detection tec...
Nuno Alves, Y. Shi, N. Imbriglia, Jennifer Dworak,...
GRAPHICSINTERFACE
2009
13 years 4 months ago
QuickSelect: history-based selection expansion
When editing a graphical document, it is common to apply a change to multiple items at once, and a variety of tools exist for selecting sets of items. However, directly selecting ...
Sara L. Su, Sylvain Paris, Frédo Durand
CORR
2010
Springer
221views Education» more  CORR 2010»
13 years 3 months ago
Reduction of Feature Vectors Using Rough Set Theory for Human Face Recognition
In this paper we describe a procedure to reduce the size of the input feature vector. A complex pattern recognition problem like face recognition involves huge dimension of input ...
Debotosh Bhattacharjee, Dipak Kumar Basu, Mita Nas...