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KDD
2004
ACM
210views Data Mining» more  KDD 2004»
16 years 6 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...
PAMI
2008
216views more  PAMI 2008»
15 years 6 months ago
Annotating Images by Mining Image Search Results
Although it has been studied for years by the computer vision and machine learning communities, image annotation is still far from practical. In this paper, we propose a novel atte...
Xin-Jing Wang, Lei Zhang 0001, Xirong Li, Wei-Ying...
CRYPTO
2004
Springer
86views Cryptology» more  CRYPTO 2004»
15 years 11 months ago
On Multiple Linear Approximations
In this paper we study the long standing problem of information extraction from multiple linear approximations. We develop a formal statistical framework for block cipher attacks b...
Alex Biryukov, Christophe De Cannière, Mich...
ICDM
2008
IEEE
136views Data Mining» more  ICDM 2008»
16 years 13 days ago
Generalized Framework for Syntax-Based Relation Mining
Supervised approaches to Data Mining are particularly appealing as they allow for the extraction of complex relations from data objects. In order to facilitate their application i...
Bonaventura Coppola, Alessandro Moschitti, Daniele...
SMC
2007
IEEE
102views Control Systems» more  SMC 2007»
16 years 7 days ago
TagFree: Identifying users without tags in smart home environments
— Since family members have their unique features when living in a smart home environment, user identifications are able to achieve without any tags. In this paper, we propose T...
Wen-Chih Peng, Wangling Huang, YiLing Chen, PeiChi...