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» Dimensionality Reduction with Image Data
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CVPR
2005
IEEE
15 years 11 months ago
Multi-Output Regularized Projection
Dimensionality reduction via feature projection has been widely used in pattern recognition and machine learning. It is often beneficial to derive the projections not only based o...
Kai Yu, Shipeng Yu, Volker Tresp
APCCAS
2006
IEEE
268views Hardware» more  APCCAS 2006»
15 years 3 months ago
A One-Dimensional Technique for Embedding Data in A JPEG Color Image
—A method of embedding data in a JPEG color image for applications such as authentication of an employee carrying a picture identification card is described. Embedding of data, s...
Kaliappan Gopalan
SADM
2010
173views more  SADM 2010»
14 years 4 months ago
Data reduction in classification: A simulated annealing based projection method
This paper is concerned with classifying high dimensional data into one of two categories. In various settings, such as when dealing with fMRI and microarray data, the number of v...
Tian Siva Tian, Rand R. Wilcox, Gareth M. James
SDM
2009
SIAM
205views Data Mining» more  SDM 2009»
15 years 7 months ago
Identifying Information-Rich Subspace Trends in High-Dimensional Data.
Identifying information-rich subsets in high-dimensional spaces and representing them as order revealing patterns (or trends) is an important and challenging research problem in m...
Chandan K. Reddy, Snehal Pokharkar
SDM
2004
SIAM
162views Data Mining» more  SDM 2004»
14 years 11 months ago
Subspace Clustering of High Dimensional Data
Clustering suffers from the curse of dimensionality, and similarity functions that use all input features with equal relevance may not be effective. We introduce an algorithm that...
Carlotta Domeniconi, Dimitris Papadopoulos, Dimitr...