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WSCG
2004
166views more  WSCG 2004»
13 years 9 months ago
De-noising and Recovering Images Based on Kernel PCA Theory
Principal Component Analysis (PCA) is a basis transformation to diagonalize an estimate of the covariance matrix of input data and, the new coordinates in the Eigenvector basis ar...
Pengcheng Xi, Tao Xu
APPML
2005
55views more  APPML 2005»
13 years 7 months ago
Recovering a phylogenetic tree using pairwise closure operations
A fundamental task in evolutionary biology is the amalgamation of a collection P of leaf-labelled trees into a single parent tree. A desirable feature of any such amalgamation is ...
Katharina T. Huber, Vincent Moulton, Charles Sempl...
INTERSPEECH
2010
13 years 2 months ago
A spoken term detection framework for recovering out-of-vocabulary words using the web
Vocabulary restrictions in large vocabulary continuous speech recognition (LVCSR) systems mean that out-of-vocabulary (OOV) words are lost in the output. However, OOV words tend t...
Carolina Parada, Abhinav Sethy, Mark Dredze, Frede...
CRV
2005
IEEE
103views Robotics» more  CRV 2005»
14 years 1 months ago
A Quantitative Comparison of 4 Algorithms for Recovering Dense Accurate Depth
: We report on 4 algorithms for recovering dense depth maps from long image sequences, where the camera motion is known a priori. All methods use a Kalman filter to integrate inte...
Baozhong Tian, John L. Barron
TSP
2008
151views more  TSP 2008»
13 years 7 months ago
Reduce and Boost: Recovering Arbitrary Sets of Jointly Sparse Vectors
The rapid developing area of compressed sensing suggests that a sparse vector lying in a high dimensional space can be accurately and efficiently recovered from only a small set of...
Moshe Mishali, Yonina C. Eldar