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ICDM
2009
IEEE
137views Data Mining» more  ICDM 2009»
16 years 28 days ago
Set-Based Boosting for Instance-Level Transfer
—The success of transfer to improve learning on a target task is highly dependent on the selected source data. Instance-based transfer methods reuse data from the source tasks to...
Eric Eaton, Marie desJardins
ICMCS
2007
IEEE
159views Multimedia» more  ICMCS 2007»
16 years 18 days ago
Boosting Face Retrieval by using Relevant Set Correlation Clustering
We present a method to improve the performance of face retrieval in news videos by using the relevant-set correlation (RSC) clustering model. In this method, faces of a person are...
Duy-Dinh Le, Shin'ichi Satoh, Michael E. Houle
HIPEAC
2007
Springer
16 years 13 days ago
Applying Decay to Reduce Dynamic Power in Set-Associative Caches
Abstract. In this paper, we propose a novel approach to reduce dynamic power in set-associative caches that leverages on a leakage-saving proposal, namely Cache Decay. We thus open...
Georgios Keramidas, Polychronis Xekalakis, Stefano...
ICRA
2006
IEEE
128views Robotics» more  ICRA 2006»
16 years 9 days ago
Probabilistic Location Recognition using Reduced Feature Set
Abstract— The localization capability is central to basic navigation tasks and motivates development of various visual navigation systems. In this paper we describe a two stage a...
Fayin Li, Jana Kosecka
IBPRIA
2005
Springer
15 years 11 months ago
Parallel Perceptrons, Activation Margins and Imbalanced Training Set Pruning
A natural way to deal with training samples in imbalanced class problems is to prune them removing redundant patterns, easy to classify and probably over represented, and label noi...
Iván Cantador, José R. Dorronsoro