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CVPR
2005
IEEE
14 years 9 months ago
Spatial Priors for Part-Based Recognition Using Statistical Models
We present a class of statistical models for part-based object recognition that are explicitly parameterized according to the degree of spatial structure they can represent. These...
David J. Crandall, Pedro F. Felzenszwalb, Daniel P...
HT
2007
ACM
13 years 11 months ago
Annotation consensus: implications for passage recommendation in scientific literature
We present a study of the degree to which annotations overlap when several researchers read the same set of scientific articles. Our objective is to determine whether there is suf...
Shannon Bradshaw, Marc Light
CLOR
2006
13 years 11 months ago
Object Recognition by Combining Appearance and Geometry
We present a new class of statistical models for part-based object recognition. These models are explicitly parametrized according to the degree of spatial structure that they can ...
David J. Crandall, Pedro F. Felzenszwalb, Daniel P...
JMLR
2006
125views more  JMLR 2006»
13 years 7 months ago
Linear Programming Relaxations and Belief Propagation - An Empirical Study
The problem of finding the most probable (MAP) configuration in graphical models comes up in a wide range of applications. In a general graphical model this problem is NP hard, bu...
Chen Yanover, Talya Meltzer, Yair Weiss
EUROCRYPT
2003
Springer
14 years 28 days ago
Algebraic Attacks on Stream Ciphers with Linear Feedback
A classical construction of stream ciphers is to combine several LFSRs and a highly non-linear Boolean function f. Their security is usually analysed in terms of correlation attack...
Nicolas Courtois, Willi Meier