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» Learning and using relational theories
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177
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CVPR
2000
IEEE
16 years 8 months ago
Order Parameters for Minimax Entropy Distributions: When Does High Level Knowledge Help?
Many problems in vision can be formulated as Bayesian inference. It is important to determine the accuracy of these inferences and how they depend on the problem domain. In recent...
Alan L. Yuille, James M. Coughlan, Song Chun Zhu, ...
EVOW
2009
Springer
16 years 1 months ago
Evolutionary Optimization Guided by Entropy-Based Discretization
The Learnable Evolution Model (LEM) involves alternating periods of optimization and learning, performa extremely well on a range of problems, a specialises in achieveing good resu...
Guleng Sheri, David W. Corne
TMM
2002
115views more  TMM 2002»
15 years 6 months ago
Principles of schema design for multimedia databases
This paper presents the rudiments of a theory of schema design for databases containing high dimensional features of the type used for describing multimedia data. We introduce a mo...
Simone Santini, Amarnath Gupta
SANSKRIT
2010
15 years 4 months ago
Sanskrit Compound Processor
Sanskrit is very rich in compound formation. Typically a compound does not code the relation between its components explicitly. To understand the meaning of a compound, it is neces...
Anil Kumar, Vipul Mittal, Amba Kulkarni
137
Voted
SUM
2007
Springer
16 years 24 days ago
Valued Hesitation in Intervals Comparison
Abstract. The paper presents a valued extension of the recently introduced concept of PQI interval order. The main idea is that, while comparing objects represented by interval of ...
Meltem Öztürk, Alexis Tsoukiàs