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» Dimensionality Reduction for Classification
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CVPR
2007
IEEE
16 years 3 months ago
Learning Kernel Expansions for Image Classification
Kernel machines (e.g. SVM, KLDA) have shown state-ofthe-art performance in several visual classification tasks. The classification performance of kernel machines greatly depends o...
Fernando De la Torre, Oriol Vinyals
BMCBI
2010
243views more  BMCBI 2010»
15 years 2 months ago
Comparative study of unsupervised dimension reduction techniques for the visualization of microarray gene expression data
Background: Visualization of DNA microarray data in two or three dimensional spaces is an important exploratory analysis step in order to detect quality issues or to generate new ...
Christoph Bartenhagen, Hans-Ulrich Klein, Christia...
133
Voted
ENGL
2007
101views more  ENGL 2007»
15 years 1 months ago
Multiresolution Knowledge Mining using Wavelet Transform
— Most research in Knowledge Mining deal with the basic models like clustering, classification, regression, association rule mining and so on. In the process of quest for knowled...
R. Pradeep Kumar, P. Nagabhushan
87
Voted
ICIAP
2003
ACM
16 years 2 months ago
Old fashioned state-of-the-art image classification
In this paper we present a statistical learning scheme for image classification based on a mixture of old fashioned ideas and state of the art learning tools. We represent input i...
Annalisa Barla, Francesca Odone, Alessandro Verri
131
Voted
WSCG
2001
106views more  WSCG 2001»
15 years 3 months ago
An Alternative Approach for Pattern Detection Applied to Materials Characterization
The problem of detecting specific patterns in images of materials obtained through High Resolution Transmission Electron Microscopy is addressed. A supervised classification metho...
Raul Queiroz Feitosa, Guilherme Lúcio Abelh...