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» Robust Algorithms for Object Localization
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CVPR
2000
IEEE
15 years 10 months ago
Perceptual Grouping and Segmentation by Stochastic Clustering
We use cluster analysis as a unifying principle for problems from low, middle and high level vision. The clustering problem is viewed as graph partitioning, where nodes represent ...
Yoram Gdalyahu, Noam Shental, Daphna Weinshall
APPROX
2008
Springer
127views Algorithms» more  APPROX 2008»
15 years 8 months ago
Approximating Single Machine Scheduling with Scenarios
In the field of robust optimization, the goal is to provide solutions to combinatorial problems that hedge against variations of the numerical parameters. This constitutes an effor...
Monaldo Mastrolilli, Nikolaus Mutsanas, Ola Svenss...
GLOBECOM
2010
IEEE
15 years 3 months ago
Sensor Placement for Minimum Exposure in Distributed Active Sensing Networks
Distributed active sensing is a new sensing paradigm, where active sensors and passive sensors are distributed in a field, and collaboratively detect and track the objects. "E...
Na Xia, Khuong Vu, Rong Zheng
ICCV
2007
IEEE
16 years 8 months ago
Joint Feature Tracking and Radiometric Calibration from Auto-Exposure Video
To capture the full brightness range of natural scenes, cameras automatically adjust the exposure value which causes the brightness of scene points to change from frame to frame. ...
Seon Joo Kim, Jan-Michael Frahm, Marc Pollefeys
ICCV
2005
IEEE
16 years 8 months ago
Learning Non-Negative Sparse Image Codes by Convex Programming
Example-based learning of codes that statistically encode general image classes is of vital importance for computational vision. Recently, non-negative matrix factorization (NMF) ...
Christoph Schnörr, Matthias Heiler