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102
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ICML
2009
IEEE
16 years 1 months ago
Geometry-aware metric learning
In this paper, we introduce a generic framework for semi-supervised kernel learning. Given pairwise (dis-)similarity constraints, we learn a kernel matrix over the data that respe...
Zhengdong Lu, Prateek Jain, Inderjit S. Dhillon
113
Voted
ICCS
2007
Springer
15 years 6 months ago
Searching and Updating Metric Space Databases Using the Parallel EGNAT
Abstract. The Evolutionary Geometric Near-neighbor Access Tree (EGNAT) is a recently proposed data structure that is suitable for indexing large collections of complex objects. It ...
Mauricio Marín, Roberto Uribe, Ricardo J. B...
111
Voted
CAISE
2008
Springer
15 years 2 months ago
On a Quest for Good Process Models: The Cross-Connectivity Metric
Abstract. Business process modeling is an important corporate activity, but the understanding of what constitutes good process models is still rather limited. In this paper, we tur...
Irene T. P. Vanderfeesten, Hajo A. Reijers, Jan Me...
112
Voted
VAMOS
2008
Springer
15 years 2 months ago
How complex is my Product Line? The case for Variation Point Metrics
Software Product Lines aim at capturing the variability and commonality of a family of related programs that share a common set of assets. Variation points capture variability on ...
Roberto E. Lopez-Herrejon, Salvador Trujillo
101
Voted
JIFS
2006
120views more  JIFS 2006»
15 years 16 days ago
Building similarity metrics reflecting utility in case-based reasoning
Fundamental to case-based reasoning is the idea that similar problems have similar solutions. The meaning of the concept of "similarity" can vary in different situations...
Ning Xiong, Peter Funk