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» Learning Generative Models via Discriminative Approaches
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CIVR
2007
Springer
231views Image Analysis» more  CIVR 2007»
14 years 3 months ago
Classification of video events using 4-dimensional time-compressed motion features
Among the various types of semantic concepts modeled, events pose the greatest challenge in terms of computational power needed to represent the event and accuracy that can be ach...
Alexander Haubold, Milind R. Naphade
JAIR
2007
159views more  JAIR 2007»
13 years 9 months ago
Combination Strategies for Semantic Role Labeling
This paper introduces and analyzes a battery of inference models for the problem of semantic role labeling: one based on constraint satisfaction, and several strategies that model...
Mihai Surdeanu, Lluís Màrquez, Xavie...
AAAI
2008
13 years 11 months ago
An Unsupervised Approach for Product Record Normalization across Different Web Sites
An unsupervised probabilistic learning framework for normalizing product records across different retailer Web sites is presented. Our framework decomposes the problem into two ta...
Tak-Lam Wong, Tik-Shun Wong, Wai Lam
BMVC
2000
13 years 10 months ago
Parallel Chains, Delayed Rejection and Reversible Jump MCMC for Object Recognition
We tackle the problem of object recognition using a Bayesian approach. A marked point process [1] is used as a prior model for the (unknown number of) objects. A sample is generat...
M. Harkness, P. Green
CORR
2010
Springer
147views Education» more  CORR 2010»
13 years 9 months ago
Learning Probabilistic Hierarchical Task Networks to Capture User Preferences
While much work on learning in planning focused on learning domain physics (i.e., action models), and search control knowledge, little attention has been paid towards learning use...
Nan Li, William Cushing, Subbarao Kambhampati, Sun...