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ICPR
2010
IEEE
14 years 9 months ago
User Adaptive Clustering for Large Image Databases
Abstract--Searching large image databases is a time consuming process when done manually. Current CBIR methods mostly rely on training data in specific domains. When source and dom...
Mohammad Mehdi Saboorian, Mansour Jamzad, Hamid R....
DAGSTUHL
2004
15 years 18 days ago
Learning with Local Models
Next to prediction accuracy, the interpretability of models is one of the fundamental criteria for machine learning algorithms. While high accuracy learners have intensively been e...
Stefan Rüping
WWW
2006
ACM
15 years 5 months ago
Using proportional transportation similarity with learned element semantics for XML document clustering
This paper proposes a novel approach to measuring XML document similarity by taking into account the semantics between XML elements. The motivation of the proposed approach is to ...
Xiaojun Wan, Jianwu Yang
TITS
2008
250views more  TITS 2008»
14 years 11 months ago
Learning, Modeling, and Classification of Vehicle Track Patterns from Live Video
This paper presents two different types of visual activity analysis modules based on vehicle tracking. The highway monitoring module accurately classifies vehicles into eight diffe...
Brendan Tran Morris, Mohan M. Trivedi
FSS
2008
147views more  FSS 2008»
14 years 11 months ago
A general framework for fuzzy morphological associative memories
Fuzzy associative memories (FAMs) can be used as a powerful tool for implementing fuzzy rule-based systems. The insight that FAMs are closely related to mathematical morphology (M...
Marcos Eduardo Valle, Peter Sussner