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122
Voted
SSDBM
2008
IEEE
113views Database» more  SSDBM 2008»
15 years 10 months ago
Query Selectivity Estimation for Uncertain Data
Applications requiring the handling of uncertain data have led to the development of database management systems extending the scope of relational databases to include uncertain (p...
Sarvjeet Singh, Chris Mayfield, Rahul Shah, Sunil ...
130
Voted
SAC
2006
ACM
15 years 9 months ago
Facial emotion recognition by adaptive processing of tree structures
We present an emotion recognition system based on a probabilistic approach to adaptive processing of Facial Emotion Tree Structures (FETS). FETS are made up of localized Gabor fea...
Jia-Jun Wong, Siu-Yeung Cho
156
Voted
CIKM
2006
Springer
15 years 7 months ago
Efficient join processing over uncertain data
In an uncertain database, each data item is modeled as a range associated with a probability density function. Previous works for this kind of data have focussed on simple queries...
Reynold Cheng, Sarvjeet Singh, Sunil Prabhakar, Ra...
119
Voted
ILP
2000
Springer
15 years 7 months ago
Bayesian Logic Programs
First-order probabilistic models are recognized as efficient frameworks to represent several realworld problems: they combine the expressive power of first-order logic, which serv...
Kristian Kersting, Luc De Raedt
136
Voted
SDM
2003
SIAM
129views Data Mining» more  SDM 2003»
15 years 4 months ago
Approximate Query Answering by Model Averaging
In earlier work we have introduced and explored a variety of different probabilistic models for the problem of answering selectivity queries posed to large sparse binary data set...
Dmitry Pavlov, Padhraic Smyth