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ICPR
2010
IEEE
15 years 6 days ago
Temporal Extension of Laplacian Eigenmaps for Unsupervised Dimensionality Reduction of Time Series
—A novel non-linear dimensionality reduction method, called Temporal Laplacian Eigenmaps, is introduced to process efficiently time series data. In this embedded-based approach,...
Michal Lewandowski, Jesus Martinez-Del-Rincon, Dim...
SAINT
2003
IEEE
15 years 3 months ago
Web-Based Feature Reduction System: A Case Study
Before Feature Reduction System (FRS) was developed, software engineers were required to use multiple independent web-based information-reporting systems when conducting multiple ...
Hoh Peter In, Thomas Foster, Jason Surprise, Sung-...
CVPR
2009
IEEE
16 years 4 months ago
Rank Priors for Continuous Non-Linear Dimensionality Reduction
Non-linear dimensionality reductionmethods are powerful techniques to deal with high-dimensional datasets. However, they often are susceptible to local minima and perform poorly ...
Andreas Geiger (Karlsruhe Institute of Technology)...
ICCV
2007
IEEE
15 years 11 months ago
Adaptive enhancement and noise reduction in very low light-level video
A general methodology for noise reduction and contrast enhancement in very noisy image data with low dynamic range is presented. Video footage recorded in very dim light is especi...
Henrik Malm, Magnus Oskarsson, Eric Warrant, Petri...
CHARME
2005
Springer
145views Hardware» more  CHARME 2005»
14 years 11 months ago
Maximal Input Reduction of Sequential Netlists via Synergistic Reparameterization and Localization Strategies
Abstract. Automatic formal verification techniques generally require exponential resources with respect to the number of primary inputs of a netlist. In this paper, we present sev...
Jason Baumgartner, Hari Mony