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199
Voted
EMNLP
2011
14 years 6 months ago
2011
We consider the problem of performing learning and inference in a large scale knowledge base containing imperfect knowledge with incomplete coverage. We show that a soft inference...
158
Voted
PODC
2012
ACM
13 years 8 months ago
2012
ACM
Two new algorithms are given for randomized consensus in a shared-memory model with an oblivious adversary. Each is based on a new construction of a conciliator, an object that gu...
182
Voted
TSP
2008
15 years 6 months ago
2008
In this paper, we consider the problem of estimating an unknown deterministic parameter vector in a linear regression model with random Gaussian uncertainty in the mixing matrix. W...
163
Voted
CVPR
2006
IEEE
16 years 8 months ago
2006
IEEE
This paper addresses the problem of detecting and segmenting partially occluded objects of a known category. We first define a part labelling which densely covers the object. Our ...
184
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CVPR
2007
IEEE
16 years 8 months ago
2007
IEEE
Markov Random Field, or MRF, models are a powerful tool for modeling images. While much progress has been made in algorithms for inference in MRFs, learning the parameters of an M...