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105
Voted
ICCV
2005
IEEE
15 years 9 months ago
2005
IEEE
This paper addresses one of the fundamental problems encountered in performance prediction for object recognition. In particular we address the problems related to estimation of s...
104
Voted
ICCAD
1996
IEEE
15 years 7 months ago
1996
IEEE
Based Automatic Abstraction for CTL Model Checking Woohyuk Lee Abelardo Pardo Jae-Young Jang Gary Hachtel Fabio Somenzi University of Colorado ECEN Campus Box 425 Boulder, CO, 8030...
124
Voted
ACL
2007
15 years 4 months ago
2007
A Bloom filter (BF) is a randomised data structure for set membership queries. Its space requirements are significantly below lossless information-theoretic lower bounds but it ...
145
Voted
NIPS
1998
15 years 4 months ago
1998
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
150
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CVPR
2008
IEEE
16 years 5 months ago
2008
IEEE
Clustering is a fundamental task in many vision applications. To date, most clustering algorithms work in a batch setting and training examples must be gathered in a large group b...