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KDD
2001
ACM
145views Data Mining» more  KDD 2001»
16 years 7 months ago
Proximal support vector machine classifiers
Given a dataset, each element of which labeled by one of k labels, we construct by a very fast algorithm, a k-category proximal support vector machine (PSVM) classifier. Proximal s...
Glenn Fung, Olvi L. Mangasarian
ICALP
2011
Springer
14 years 10 months ago
On Tree-Constrained Matchings and Generalizations
We consider the following Tree-Constrained Bipartite Matching problem: Given two rooted trees T1 = (V1, E1), T2 = (V2, E2) and a weight function w : V1 × V2 → R+, find a maximu...
Stefan Canzar, Khaled M. Elbassioni, Gunnar W. Kla...
TALG
2008
131views more  TALG 2008»
15 years 7 months ago
Kinetic and dynamic data structures for closest pair and all nearest neighbors
We present simple, fully dynamic and kinetic data structures, which are variants of a dynamic two-dimensional range tree, for maintaining the closest pair and all nearest neighbors...
Pankaj K. Agarwal, Haim Kaplan, Micha Sharir
GI
2009
Springer
15 years 12 months ago
Discovery of Smart Objects in Ubiquitous Environments and the Need for Interaction Metaphors
: In ubiquitous environments computers and smart devices, especially the technical view on them, disappear and users are supported to concentrate on the tasks they actually intend ...
René Reiners
EUROGRAPHICS
2010
Eurographics
16 years 4 months ago
HCCMeshes: Hierarchical-Culling oriented Compact Meshes
Hierarchical culling is a key acceleration technique used to efficiently handle massive models for ray tracing, collision detection, etc. To support such hierarchical culling, bo...
Tae-Joon Kim, Yongyoung Byun, Yongjin Kim, Bochang...