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ICASSP
2009
IEEE
16 years 1 months ago
Incremental predictive and adaptive noise compensation
Model compensation schemes are a powerful approach to handling mismatches between training and testing conditions. Normally these schemes are run in a batch adaptation mode, re-re...
Federico Flego, Mark J. F. Gales
ICRA
2010
IEEE
114views Robotics» more  ICRA 2010»
15 years 5 months ago
A general information quality based approach for satisfying sensor constraints in multirobot tasks
— Many architectures have been proposed to solve tightly-coupled multirobot tasks (MT) through coalitions of heterogeneous robots. However, several issues remain unaddressed. As ...
Yu Zhang, Lynne E. Parker
ICDM
2006
IEEE
146views Data Mining» more  ICDM 2006»
16 years 16 days ago
Boosting Kernel Models for Regression
This paper proposes a general boosting framework for combining multiple kernel models in the context of both classification and regression problems. Our main approach is built on...
Ping Sun, Xin Yao
CVPR
2007
IEEE
16 years 8 months ago
Region Classification with Markov Field Aspect Models
Considerable advances have been made in learning to recognize and localize visual object classes. Simple bag-offeature approaches label each pixel or patch independently. More adv...
Jakob J. Verbeek, Bill Triggs
ACISICIS
2005
IEEE
16 years 3 days ago
Modeling Uncertainty in Context-Aware Computing
Uncertainty always exists as an unavoidable factor in any pervasive context-aware applications. This is mostly caused by the imperfectness and incompleteness of data. In this pape...
Binh An Truong, Young-Koo Lee, Sungyoung Lee