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ECCV
2002
Springer
14 years 9 months ago
Representing Edge Models via Local Principal Component Analysis
Edge detection depends not only upon the assumed model of what an edge is, but also on how this model is represented. The problem of how to represent the edge model is typically ne...
Patrick S. Huggins, Steven W. Zucker
COMPLIFE
2006
Springer
13 years 11 months ago
Set-Oriented Dimension Reduction: Localizing Principal Component Analysis Via Hidden Markov Models
We present a method for simultaneous dimension reduction and metastability analysis of high dimensional time series. The approach is based on the combination of hidden Markov model...
Illia Horenko, Johannes Schmidt-Ehrenberg, Christo...
HAIS
2010
Springer
13 years 7 months ago
Lattice Independent Component Analysis for Mobile Robot Localization
Ivan Villaverde, Borja Fernández-Gauna, Eka...
PR
2010
314views more  PR 2010»
13 years 5 months ago
Two-stage image denoising by principal component analysis with local pixel grouping
Lei Zhang 0006, Weisheng Dong, David Zhang, Guangm...
IWMM
2009
Springer
130views Hardware» more  IWMM 2009»
14 years 1 months ago
A component model of spatial locality
Good spatial locality alleviates both the latency and bandwidth problem of memory by boosting the effect of prefetching and improving the utilization of cache. However, convention...
Xiaoming Gu, Ian Christopher, Tongxin Bai, Chengli...