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» Robust Principal Component Analysis for Computer Vision
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ICPR
2006
IEEE
14 years 8 months ago
Robust Alignment of Transmission Electron Microscope Tilt Series
In this paper, we propose a novel method for automatic, feature-based alignment of transmission electron microscope images that is needed for computing 3D reconstructions in elect...
Sami S. Brandt, Ulrike Ziese
IMC
2005
ACM
14 years 1 months ago
Network Anomography
Anomaly detection is a first and important step needed to respond to unexpected problems and to assure high performance and security in IP networks. We introduce a framework and ...
Yin Zhang, Zihui Ge, Albert G. Greenberg, Matthew ...
ICML
2008
IEEE
14 years 8 months ago
Expectation-maximization for sparse and non-negative PCA
We study the problem of finding the dominant eigenvector of the sample covariance matrix, under additional constraints on the vector: a cardinality constraint limits the number of...
Christian D. Sigg, Joachim M. Buhmann
IJON
2008
121views more  IJON 2008»
13 years 7 months ago
Locality sensitive semi-supervised feature selection
In many computer vision tasks like face recognition and image retrieval, one is often confronted with high-dimensional data. Procedures that are analytically or computationally ma...
Jidong Zhao, Ke Lu, Xiaofei He
CLIN
2000
13 years 9 months ago
Alpino: Wide-coverage Computational Analysis of Dutch
Alpino is a wide-coverage computational analyzer of Dutch which aims at accurate, full, parsing of unrestricted text. We describe the head-driven lexicalized grammar and the lexic...
Gosse Bouma, Gertjan van Noord, Rob Malouf