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» Optimal dimensionality of metric space for classification
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ICASSP
2008
IEEE
14 years 2 months ago
Fine: Information embedding for document classification
The problem of document classification considers categorizing or grouping of various document types. Each document can be represented as a bag of words, which has no straightforw...
Kevin M. Carter, Raviv Raich, Alfred O. Hero
FSKD
2006
Springer
147views Fuzzy Logic» more  FSKD 2006»
13 years 11 months ago
Adaptive Nearest Neighbor Classifier Based on Supervised Ellipsoid Clustering
Nearest neighbor classifier is a widely-used effective method for multi-class problems. However, it suffers from the problem of the curse of dimensionality in high dimensional spac...
Guo-Jun Zhang, Ji-Xiang Du, De-Shuang Huang, Tat-M...
ICCV
1998
IEEE
14 years 9 months ago
A Metric for Distributions with Applications to Image Databases
Proceedings of the 1998 IEEE International Conference on Computer Vision, Bombay, India We introduce a new distance between two distributions that we call the Earth Mover's D...
Yossi Rubner, Carlo Tomasi, Leonidas J. Guibas
ISMIR
2004
Springer
108views Music» more  ISMIR 2004»
14 years 1 months ago
Improving Melody Classification by Discriminant Feature Extraction and Fusion
We propose a general approach to discriminant feature extraction and fusion, built on an optimal feature transformation for discriminant analysis [6]. Our experiments indicate tha...
Ming Li, Ronan Sleep
SIAMIS
2010
171views more  SIAMIS 2010»
13 years 2 months ago
Global Optimization for One-Dimensional Structure and Motion Problems
We study geometric reconstruction problems in one-dimensional retina vision. In such problems, the scene is modeled as a 2D plane, and the camera sensor produces 1D images of the s...
Olof Enqvist, Fredrik Kahl, Carl Olsson, Kalle &Ar...