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NIPS
1997
13 years 11 months ago
EM Algorithms for PCA and SPCA
I present an expectation-maximization (EM) algorithm for principal component analysis (PCA). The algorithm allows a few eigenvectors and eigenvalues to be extracted from large col...
Sam T. Roweis
ISM
2006
IEEE
143views Multimedia» more  ISM 2006»
14 years 3 months ago
Perceptually Enhanced Multimedia Processing, Visualization and Transmission
Data reduction has long been a method for adaptation to limited computational and network resources. But one major concern is the tradeoff between preserving visual quality and re...
Irene Cheng, Randy Goebel
LWA
2007
13 years 11 months ago
Retrieval of technical drawings in DXF format - concepts and problems
Nowadays, launching new products in short intervals is a critical factor for success to persist on the global market. At the same time many enterprises call for cost reduction in ...
Nadine Weber, Andreas Henrich
ISDA
2009
IEEE
14 years 4 months ago
Measures for Unsupervised Fuzzy-Rough Feature Selection
For supervised learning, feature selection algorithms attempt to maximise a given function of predictive accuracy. This function usually considers the ability of feature vectors t...
Neil MacParthalain, Richard Jensen
SIGIR
1999
ACM
14 years 2 months ago
A Similarity-based Probability Model for Latent Semantic Indexing
A dual probability model is constructed for the Latent Semantic Indexing LSI using the cosine similarity measure. Both the document-document similarity matrix and the term-term ...
Chris H. Q. Ding