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ICDE
2007
IEEE
137views Database» more  ICDE 2007»
14 years 8 months ago
ProVeR: Probabilistic Video Retrieval using the Gauss-Tree
Modeling objects by probability density functions (pdf) is a new powerful method to represent complex objects in databases. By representing an object as a pdf, e.g. a Gaussian, it...
Alexey Pryakhin, Christian Böhm, Matthias Sch...
AMAST
2008
Springer
13 years 9 months ago
Generating Specialized Rules and Programs for Demand-Driven Analysis
Many complex analysis problems can be most clearly and easily specified as logic rules and queries, where rules specify how given facts can be combined to infer new facts, and quer...
K. Tuncay Tekle, Katia Hristova, Yanhong A. Liu
CIKM
2006
Springer
13 years 11 months ago
A probabilistic relevance propagation model for hypertext retrieval
A major challenge in developing models for hypertext retrieval is to effectively combine content information with the link structure available in hypertext collections. Although s...
Azadeh Shakery, ChengXiang Zhai
DAC
1995
ACM
13 years 11 months ago
Efficient Power Estimation for Highly Correlated Input Streams
- Power estimation in combinational modules is addressed from a probabilistic point of view. The zero-delay hypothesis is considered and under highly correlated input streams, the ...
Radu Marculescu, Diana Marculescu, Massoud Pedram
UAI
1993
13 years 8 months ago
Probabilistic Assumption-Based Reasoning
In this paper the classical propositional assumption-based model is extended to incorporate probabilities for the assumptions. Then the whole model is placed into the framework of...
Jürg Kohlas, Paul-André Monney