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» From Algorithmic to Subjective Randomness
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CIKM
2010
Springer
15 years 5 months ago
Computing the top-k maximal answers in a join of ranked lists
Complex search tasks that utilize information from several data sources, are answered by integrating the results of distinct basic search queries. In such integration, each basic ...
Mirit Shalem, Yaron Kanza
229
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IJCV
2010
223views more  IJCV 2010»
15 years 2 months ago
Anthropometric 3D Face Recognition
Abstract We present a novel anthropometric three dimensional (Anthroface 3D) face recognition algorithm, which is based on a systematically selected set of discriminatory structura...
Shalini Gupta, Mia K. Markey, Alan C. Bovik
205
Voted
CVPR
2008
IEEE
16 years 9 months ago
Principled fusion of high-level model and low-level cues for motion segmentation
High-level generative models provide elegant descriptions of videos and are commonly used as the inference framework in many unsupervised motion segmentation schemes. However, app...
Arasanathan Thayananthan, Masahiro Iwasaki, Robert...
172
Voted
IPMI
2003
Springer
16 years 8 months ago
Expectation Maximization Strategies for Multi-atlas Multi-label Segmentation
It is well-known in the pattern recognition community that the accuracy of classifications obtained by combining decisions made by independent classifiers can be substantially high...
Torsten Rohlfing, Daniel B. Russakoff, Calvin R. M...
200
Voted
STOC
2004
ACM
150views Algorithms» more  STOC 2004»
16 years 7 months ago
Typical properties of winners and losers in discrete optimization
We present a probabilistic analysis for a large class of combinatorial optimization problems containing, e.g., all binary optimization problems defined by linear constraints and a...
René Beier, Berthold Vöcking