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» A Training Method with Small Computation for Classification
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Publication
309views
14 years 5 months ago
Improving Nearest Neighbor Classification with Cam Weighted Distance
Nearest neighbor (NN) classification assumes locally constant class conditional probabilities, and suffers from bias in high dimensions with a small sample set. In this paper, we p...
Changyin Zhou, Yanqiu Chen
KES
2006
Springer
13 years 7 months ago
Classification Using Multiple and Negative Target Rules
Rules are a type of human-understandable knowledge, and rule-based methods are very popular in building decision support systems. However, most current rule based classification sy...
Jiuyong Li, Jason Jones
ICASSP
2009
IEEE
14 years 2 months ago
Microarray classification using block diagonal linear discriminant analysis with embedded feature selection
In this paper, block diagonal linear discriminant analysis (BDLDA) is improved and applied to gene expression data. BDLDA is a classification tool with embedded feature selection...
Lingyan Sheng, Roger Pique-Regi, Shahab Asgharzade...
SIGIR
2003
ACM
14 years 1 months ago
Image classification using hybrid neural networks
Use of semantic content is one of the major issues which needs to be addressed for improving image retrieval effectiveness. We present a new approach to classify images based on t...
Chih-Fong Tsai, Kenneth McGarry, John Tait
CVPR
2009
IEEE
15 years 3 months ago
Building text features for object image classification
We introduce a text-based image feature and demon- strate that it consistently improves performance on hard object classification problems. The feature is built using an auxilia...
David A. Forsyth, Derek Hoiem, Gang Wang