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IBPRIA
2009
Springer
15 years 8 months ago
Class Representative Visual Words for Category-Level Object Recognition
Recent works in object recognition often use visual words, i.e. vector quantized local descriptors extracted from the images. In this paper we present a novel method to build such ...
Roberto Javier López-Sastre, Tinne Tuytelaa...
145
Voted
GECCO
2008
Springer
232views Optimization» more  GECCO 2008»
15 years 4 months ago
An efficient SVM-GA feature selection model for large healthcare databases
This paper presents an efficient hybrid feature selection model based on Support Vector Machine (SVM) and Genetic Algorithm (GA) for large healthcare databases. Even though SVM an...
Rick Chow, Wei Zhong, Michael Blackmon, Richard St...
124
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DCC
2008
IEEE
16 years 3 months ago
Compression of Hyperspectral Images with LVQ-SPECK
We discuss the use of lattice vector quantizers in conjunction with a quadtree-based sorting algorithm for the compression of multidimensional data sets, as encountered, for examp...
Alessandro J. S. Dutra, William A. Pearlman, Eduar...
ICPR
2006
IEEE
16 years 4 months ago
Non-Iterative Two-Dimensional Linear Discriminant Analysis
Linear discriminant analysis (LDA) is a well-known scheme for feature extraction and dimensionality reduction of labeled data in a vector space. Recently, LDA has been extended to...
Kohei Inoue, Kiichi Urahama
CVPR
2003
IEEE
16 years 5 months ago
Flux Driven Fly Throughs
We present a fast, robust and automatic method for computing central paths through tubular structures for application to virtual endoscopy. The key idea is to utilize a medial sur...
Sylvain Bouix, Kaleem Siddiqi, Allen Tannenbaum