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PR
2008
93views more  PR 2008»
13 years 10 months ago
Genetic algorithm-based feature set partitioning for classification problems
Feature set partitioning generalizes the task of feature selection by partitioning the feature set into subsets of features that are collectively useful, rather than by finding a ...
Lior Rokach
GLOBECOM
2007
IEEE
14 years 4 months ago
Using Type-of-Relationship (ToR) Graphs to Select Disjoint Paths in Overlay Networks
— Routing policies used in the Internet can be restrictive, limiting communication between source-destination pairs to one path, when often better alternatives exist. To avoid ro...
Sameer Qazi, Tim Moors
ICML
2010
IEEE
13 years 11 months ago
Submodular Dictionary Selection for Sparse Representation
We develop an efficient learning framework to construct signal dictionaries for sparse representation by selecting the dictionary columns from multiple candidate bases. By sparse,...
Andreas Krause, Volkan Cevher
ICC
2007
IEEE
102views Communications» more  ICC 2007»
14 years 4 months ago
Iterative MMSE Transmit and Receive Filter Design for Frequency Selective MU-MISO Systems
— We consider a multi-user multiple-input single-output (MU-MISO) scenario, where the decentralized users are served by a centralized transmitter with multiple channel inputs via...
Ralf Bendlin, Michael Joham, Josef A. Nossek, Yih-...
PAMI
2006
206views more  PAMI 2006»
13 years 10 months ago
MILES: Multiple-Instance Learning via Embedded Instance Selection
Multiple-instance problems arise from the situations where training class labels are attached to sets of samples (named bags), instead of individual samples within each bag (called...
Yixin Chen, Jinbo Bi, James Ze Wang