Sciweavers

1950 search results - page 56 / 390
» Informative sampling for large unbalanced data sets
Sort
View
ICCV
2001
IEEE
14 years 11 months ago
Feature Selection from Huge Feature Sets
The number of features that can be computed over an image is, for practical purposes, limitless. Unfortunately, the number of features that can be computed and exploited by most c...
José Bins, Bruce A. Draper
CIVR
2008
Springer
138views Image Analysis» more  CIVR 2008»
13 years 10 months ago
MyPlaces: detecting important settings in a visual diary
We describe a novel approach to identifying specific settings in large collections of passively captured images corresponding to a visual diary. An algorithm developed for setting...
Michael Blighe, Noel E. O'Connor
IROS
2006
IEEE
162views Robotics» more  IROS 2006»
14 years 3 months ago
Efficiency Improvement in Monte Carlo Localization through Topological Information
- Monte Carlo localization is known to be one of the most reliable methods for pose estimation of a mobile robot. Many studies have been conducted to improve performance of MCL. Al...
Tae-Bum Kwon, Ju-Ho Yang, Jae-Bok Song, Woojin Chu...
SIGECOM
2010
ACM
219views ECommerce» more  SIGECOM 2010»
14 years 1 months ago
Revenue maximization with a single sample
We design and analyze approximately revenue-maximizing auctions in general single-parameter settings. Bidders have publicly observable attributes, and we assume that the valuation...
Peerapong Dhangwatnotai, Tim Roughgarden, Qiqi Yan
EKAW
2000
Springer
14 years 17 days ago
Informed Selection of Training Examples for Knowledge Refinement
Knowledge refinement tools rely on a representative set of training examples to identify and repair faults in a knowledge based system (KBS). In real environments it is often diffi...
Nirmalie Wiratunga, Susan Craw