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BIBE
2006
IEEE
154views Bioinformatics» more  BIBE 2006»
16 years 6 days ago
Determining Molecular Similarity for Drug Discovery using the Wavelet Riemannian Metric
Discerning the similarity between two molecules is a challenging problem in drug discovery as well as in molecular biology. The importance of this problem is due to the fact that ...
Elinor Velasquez, Emmanuel R. Yera, Rahul Singh
SISAP
2009
IEEE
155views Data Mining» more  SISAP 2009»
16 years 27 days ago
Analyzing Metric Space Indexes: What For?
—It has been a long way since the beginnings of metric space searching, where people coming from algorithmics tried to apply their background to this new paradigm, obtaining vari...
Gonzalo Navarro
APPROX
2005
Springer
103views Algorithms» more  APPROX 2005»
15 years 11 months ago
Where's the Winner? Max-Finding and Sorting with Metric Costs
Traditionally, a fundamental assumption in evaluating the performance of algorithms for sorting and selection has been that comparing any two elements costs one unit (of time, work...
Anupam Gupta, Amit Kumar
MM
2009
ACM
203views Multimedia» more  MM 2009»
15 years 10 months ago
Distance metric learning from uncertain side information with application to automated photo tagging
Automated photo tagging is essential to make massive unlabeled photos searchable by text search engines. Conventional image annotation approaches, though working reasonably well o...
Lei Wu, Steven C. H. Hoi, Rong Jin, Jianke Zhu, Ne...
TALG
2010
158views more  TALG 2010»
15 years 26 days ago
Clustering for metric and nonmetric distance measures
We study a generalization of the k-median problem with respect to an arbitrary dissimilarity measure D. Given a finite set P of size n, our goal is to find a set C of size k such t...
Marcel R. Ackermann, Johannes Blömer, Christi...