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» Computing with abstract matrix structures
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136
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BMCBI
2008
153views more  BMCBI 2008»
15 years 3 months ago
Improved general regression network for protein domain boundary prediction
Background: Protein domains present some of the most useful information that can be used to understand protein structure and functions. Recent research on protein domain boundary ...
Paul D. Yoo, Abdur R. Sikder, Bing Bing Zhou, Albe...
173
Voted
TSP
2008
123views more  TSP 2008»
15 years 3 months ago
MIMO Radar Space-Time Adaptive Processing Using Prolate Spheroidal Wave Functions
In the traditional transmitting beamforming radar system, the transmitting antennas send coherent waveforms which form a highly focused beam. In the multiple-input multipleoutput (...
Chun-Yang Chen, Palghat P. Vaidyanathan
164
Voted
ICCV
2011
IEEE
14 years 3 months ago
Latent Low-Rank Representation for Subspace Segmentation and Feature Extraction
Low-Rank Representation (LRR) [16, 17] is an effective method for exploring the multiple subspace structures of data. Usually, the observed data matrix itself is chosen as the dic...
Guangcan Liu, Shuicheng Yan
CVPR
2001
IEEE
16 years 5 months ago
Diffusion Tensor Regularization with Constraints Preservation
This paper deals with the problem of regularizing noisy fields of diffusion tensors, considered as symmetric and semi-positive definite ? ? ? matrices (as for instance 2D structur...
David Tschumperlé, Rachid Deriche
CVPR
2005
IEEE
16 years 5 months ago
Wide-Baseline Stereo Matching with Line Segments
We present a new method for matching line segments between two uncalibrated wide-baseline images. Most current techniques for wide-baseline matching are based on viewpoint invaria...
Herbert Bay, Vittorio Ferrari, Luc J. Van Gool