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SDM
2003
SIAM
110views Data Mining» more  SDM 2003»
15 years 8 months ago
Mixture Models and Frequent Sets: Combining Global and Local Methods for 0-1 Data
We study the interaction between global and local techniques in data mining. Specifically, we study the collections of frequent sets in clusters produced by a probabilistic clust...
Jaakko Hollmén, Jouni K. Seppänen, Hei...
CVPR
2011
IEEE
15 years 2 months ago
On Deep Generative Models with Applications to Recognition
The most popular way to use probabilistic models in vision is first to extract some descriptors of small image patches or object parts using well-engineered features, and then to...
Marc', Aurelio Ranzato, Joshua Susskind, Volodymyr...
SIGIR
2003
ACM
15 years 12 months ago
Modeling annotated data
We consider the problem of modeling annotated data—data with multiple types where the instance of one type (such as a caption) serves as a description of the other type (such as...
David M. Blei, Michael I. Jordan
AAAI
2008
15 years 9 months ago
Structure Learning on Large Scale Common Sense Statistical Models of Human State
Research has shown promise in the design of large scale common sense probabilistic models to infer human state from environmental sensor data. These models have made use of mined ...
William Pentney, Matthai Philipose, Jeff A. Bilmes
SACRYPT
2004
Springer
143views Cryptology» more  SACRYPT 2004»
16 years 18 hour ago
Blockwise Adversarial Model for On-line Ciphers and Symmetric Encryption Schemes
Abstract. This paper formalizes the security adversarial games for online symmetric cryptosystems in a unified framework for deterministic and probabilistic encryption schemes. On...
Pierre-Alain Fouque, Antoine Joux, Guillaume Poupa...