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ECCV
2006
Springer
16 years 9 months ago
TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation
Abstract. This paper proposes a new approach to learning a discriminative model of object classes, incorporating appearance, shape and context information efficiently. The learned ...
Jamie Shotton, John M. Winn, Carsten Rother, Anton...
KDD
2004
ACM
210views Data Mining» more  KDD 2004»
16 years 7 months ago
Probabilistic author-topic models for information discovery
We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, T...
ICFEM
2009
Springer
16 years 1 months ago
Approximate Model Checking of PCTL Involving Unbounded Path Properties
Abstract. We study the problem of applying statistical methods for approximate model checking of probabilistic systems against properties encoded as PCTL formulas. Such approximate...
Samik Basu, Arka P. Ghosh, Ru He
KDD
2005
ACM
161views Data Mining» more  KDD 2005»
16 years 7 months ago
Combining email models for false positive reduction
Machine learning and data mining can be effectively used to model, classify and discover interesting information for a wide variety of data including email. The Email Mining Toolk...
Shlomo Hershkop, Salvatore J. Stolfo
DAGSTUHL
2007
15 years 8 months ago
Integrated Human Behavior Modeling
In order to prevent emergencies or critical situations where humans are the origin, a timely provision of information thus obtained for the coordinating services and the on-site st...
Michael Berger, Dagmar Beyer, Stephan Prueckner