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PVLDB
2010
92views more  PVLDB 2010»
13 years 8 months ago
Proximity Rank Join
We introduce the proximity rank join problem, where we are given a set of relations whose tuples are equipped with a score and a real-valued feature vector. Given a target feature...
Davide Martinenghi, Marco Tagliasacchi
COMPGEOM
2009
ACM
14 years 4 months ago
Proximity of persistence modules and their diagrams
Topological persistence has proven to be a key concept for the study of real-valued functions defined over topological spaces. Its validity relies on the fundamental property tha...
Frédéric Chazal, David Cohen-Steiner...
CIAC
2003
Springer
98views Algorithms» more  CIAC 2003»
14 years 3 months ago
Improving Customer Proximity to Railway Stations
Abstract. We consider problems of (new) station placement along (existing) railway tracks, so as to increase the number of users. We prove that, in spite of the NP-hardness for the...
Evangelos Kranakis, Paolo Penna, Konrad Schlude, D...
ICDM
2007
IEEE
129views Data Mining» more  ICDM 2007»
14 years 4 months ago
A Generalization of Proximity Functions for K-Means
K-means is a widely used partitional clustering method. A large amount of effort has been made on finding better proximity (distance) functions for K-means. However, the common c...
Junjie Wu, Hui Xiong, Jian Chen, Wenjun Zhou
SIAMJO
2010
84views more  SIAMJO 2010»
13 years 8 months ago
A Redistributed Proximal Bundle Method for Nonconvex Optimization
Proximal bundle methods have been shown to be highly successful optimization methods for unconstrained convex problems with discontinuous first derivatives. This naturally leads ...
Warren Hare, Claudia A. Sagastizábal