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PAMI
2010
190views more  PAMI 2010»
13 years 6 months ago
OBJCUT: Efficient Segmentation Using Top-Down and Bottom-Up Cues
—We present a probabilistic method for segmenting instances of a particular object category within an image. Our approach overcomes the deficiencies of previous segmentation tech...
M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...
CORR
2008
Springer
119views Education» more  CORR 2008»
13 years 7 months ago
Self-stabilizing Numerical Iterative Computation
Many challenging tasks in sensor networks, including sensor calibration, ranking of nodes, monitoring, event region detection, collaborative filtering, collaborative signal proces...
Ezra N. Hoch, Danny Bickson, Danny Dolev
SCAI
2008
13 years 9 months ago
Sharing Moral Responsibility with Robots: A Pragmatic Approach
Roboethics is a recently developed field of applied ethics which deals with the ethical aspects of technologies such as robots, ambient intelligence, direct neural interfaces and i...
Gordana Dodig-Crnkovic, Daniel Persson
FMSB
2008
129views Formal Methods» more  FMSB 2008»
13 years 9 months ago
Rule-Based Modelling, Symmetries, Refinements
Rule-based modelling is particularly effective for handling the highly combinatorial aspects of cellular signalling. The dynamics is described in terms of interactions between part...
Vincent Danos, Jérôme Feret, Walter F...
ICCV
1999
IEEE
14 years 9 months ago
Segmentation using Eigenvectors: A Unifying View
Automatic grouping and segmentation of images remains a challenging problem in computer vision. Recently, a number of authors have demonstrated good performance on this task using...
Yair Weiss