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ICASSP
2011
IEEE
14 years 10 months ago
Sparse variable reduced rank regression via Stiefel optimization
Reduced rank regression (RRR) has found application in various fields of signal processing. In this paper we propose a novel extension of the RRR model which we call sparse varia...
Magnus O. Ulfarsson, Victor Solo
ICASSP
2011
IEEE
14 years 10 months ago
Log-gaussian cox processes of visual keypoints for sonar texture recognition
In this paper, invariant sonar texture characterization for seabed classification is addressed from the spatial distribution of image keypoints using log-Gaussian Cox processes. ...
Huu-Giao Nguyen, Ronan Fablet, Jean-Marc Boucher
SGP
2004
15 years 9 months ago
Geometric Texture Synthesis by Example
Patterns on real-world objects are often due to variations in geometry across the surface. Height fields and other common parametric methods cannot synthesize many forms of geomet...
Pravin Bhat, Stephen Ingram, Greg Turk
CORR
2010
Springer
210views Education» more  CORR 2010»
15 years 6 months ago
Exploiting Statistical Dependencies in Sparse Representations for Signal Recovery
Signal modeling lies at the core of numerous signal and image processing applications. A recent approach that has drawn considerable attention is sparse representation modeling, in...
Tomer Faktor, Yonina C. Eldar, Michael Elad
CVPR
2003
IEEE
16 years 8 months ago
Tracking Appearances with Occlusions
Occlusion is a difficult problem for appearance-based target tracking, especially when we need to track multiple targets simultaneously and maintain the target identities during t...
Ying Wu, Ting Yu, Gang Hua
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