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PRIB
2010
Springer
242views Bioinformatics» more  PRIB 2010»
13 years 8 months ago
Consensus of Ambiguity: Theory and Application of Active Learning for Biomedical Image Analysis
Abstract. Supervised classifiers require manually labeled training samples to classify unlabeled objects. Active Learning (AL) can be used to selectively label only “ambiguous...
Scott Doyle, Anant Madabhushi
ECCV
2004
Springer
15 years 5 days ago
An MCMC-Based Particle Filter for Tracking Multiple Interacting Targets
Abstract. We describe a Markov chain Monte Carlo based particle filter that effectively deals with interacting targets, i.e., targets that are influenced by the proximity and/or be...
Zia Khan, Tucker R. Balch, Frank Dellaert
STOC
2004
ACM
94views Algorithms» more  STOC 2004»
14 years 10 months ago
Sublinear algorithms for testing monotone and unimodal distributions
The complexity of testing properties of monotone and unimodal distributions, when given access only to samples of the distribution, is investigated. Two kinds of sublineartime alg...
Tugkan Batu, Ravi Kumar, Ronitt Rubinfeld
PODS
1999
ACM
121views Database» more  PODS 1999»
14 years 2 months ago
Tracking Join and Self-Join Sizes in Limited Storage
Query optimizers rely on fast, high-quality estimates of result sizes in order to select between various join plans. Selfjoin sizes of relations provide bounds on the join size of...
Noga Alon, Phillip B. Gibbons, Yossi Matias, Mario...
AAAI
1998
13 years 11 months ago
Fast Probabilistic Modeling for Combinatorial Optimization
Probabilistic models have recently been utilized for the optimization of large combinatorial search problems. However, complex probabilistic models that attempt to capture interpa...
Shumeet Baluja, Scott Davies