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ICCV
2005
IEEE
14 years 2 months ago
Learning Models for Predicting Recognition Performance
This paper addresses one of the fundamental problems encountered in performance prediction for object recognition. In particular we address the problems related to estimation of s...
Rong Wang, Bir Bhanu
TCS
2010
13 years 7 months ago
Runtime analysis of a binary particle swarm optimizer
We investigate the runtime of a Binary Particle Swarm Optimizer (PSO) for optimizing pseudo-Boolean functions f : {0, 1}n → R. The Binary PSO maintains a swarm of particles sear...
Dirk Sudholt, Carsten Witt
MFCS
2001
Springer
14 years 1 months ago
The k-Median Problem for Directed Trees
Abstract Marek Chrobak1 , Lawrence L. Larmore2 , and Wojciech Rytter3,4 1 Department of Computer Science, University of California Riverside, CA 92521 2 Department of Computer Scie...
Marek Chrobak, Lawrence L. Larmore, Wojciech Rytte...
CORR
2011
Springer
210views Education» more  CORR 2011»
13 years 3 months ago
Statistical Compressed Sensing of Gaussian Mixture Models
A novel framework of compressed sensing, namely statistical compressed sensing (SCS), that aims at efficiently sampling a collection of signals that follow a statistical distribu...
Guoshen Yu, Guillermo Sapiro
ECML
1998
Springer
14 years 27 days ago
A Monotonic Measure for Optimal Feature Selection
Feature selection is a problem of choosing a subset of relevant features. Researchers have been searching for optimal feature selection methods. `Branch and Bound' and Focus a...
Huan Liu, Hiroshi Motoda, Manoranjan Dash