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» Dimensionality Reduction for Classification
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IJAR
2008
93views more  IJAR 2008»
15 years 3 months ago
Prototype based fuzzy classification in clinical proteomics
Proteomic profiling based on mass spectrometry is an important tool for studies at the protein and peptide level in medicine and health care. Thereby, the identification of releva...
Frank-Michael Schleif, Thomas Villmann, Barbara Ha...
TIP
2008
175views more  TIP 2008»
15 years 3 months ago
Customizing Kernel Functions for SVM-Based Hyperspectral Image Classification
Previous research applying kernel methods such as support vector machines (SVMs) to hyperspectral image classification has achieved performance competitive with the best available ...
Baofeng Guo, Steve R. Gunn, Robert I. Damper, Jame...
130
Voted
CIARP
2010
Springer
15 years 1 months ago
On Improving Dissimilarity-Based Classifications Using a Statistical Similarity Measure
The aim of this paper is to present a dissimilarity measure strategy by which a new philosophy for pattern classification pertaining to dissimilaritybased classifications (DBCs) ca...
Sang-Woon Kim, Robert P. W. Duin
ICPR
2004
IEEE
16 years 4 months ago
Classification Probability Analysis of Principal Component Null Space Analysis
In a previous paper [1], we have presented a new linear classification algorithm, Principal Component Null Space Analysis (PCNSA) which is designed for problems like object recogn...
Namrata Vaswani, Rama Chellappa
120
Voted
ICML
2007
IEEE
16 years 4 months ago
Minimum reference set based feature selection for small sample classifications
We address feature selection problems for classification of small samples and high dimensionality. A practical example is microarray-based cancer classification problems, where sa...
Xue-wen Chen, Jong Cheol Jeong