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» A Discriminant Analysis for Undersampled Data
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ICPR
2000
IEEE
13 years 11 months ago
REFLICS: Real-Time Flow Imaging and Classification System
Abstract. An accurate analysis of a large dynamic system like our oceans requires spatially fine and temporally matched data collection methods. Current methods to estimate fish st...
Sadahiro Iwamoto, Mohan M. Trivedi, David M. Check...
CIVR
2007
Springer
169views Image Analysis» more  CIVR 2007»
14 years 1 months ago
Whitened LDA for face recognition
Over the years, many Linear Discriminant Analysis (LDA) algorithms have been proposed for the study of high dimensional data in a large variety of problems. An intrinsic limitatio...
Vo Dinh Minh Nhat, Sungyoung Lee, Hee Yong Youn
ICMCS
2006
IEEE
112views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Visual Feature Space Analysis for Unsupervised Effectiveness Estimation and Feature Engineering
The Feature Vector approach is one of the most popular schemes for managing multimedia data. For many data types such as audio, images, or 3D models, an abundance of different Fea...
Tobias Schreck, Daniel A. Keim, Christian Panse
DIS
2010
Springer
13 years 6 months ago
ESTATE: Strategy for Exploring Labeled Spatial Datasets Using Association Analysis
Abstract. We propose an association analysis-based strategy for exploration of multi-attribute spatial datasets possessing naturally arising classification. Proposed strategy, EST...
Tomasz F. Stepinski, Josue Salazar, Wei Ding 0003,...
PR
2008
113views more  PR 2008»
13 years 7 months ago
Do unbalanced data have a negative effect on LDA?
For two-class discrimination, Ref. [1] claimed that, when covariance matrices of the two classes were unequal, a (class) unbalanced dataset had a negative effect on the performanc...
Jing-Hao Xue, D. Mike Titterington