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JMLR
2012
11 years 10 months ago
Metric and Kernel Learning Using a Linear Transformation
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
Prateek Jain, Brian Kulis, Jason V. Davis, Inderji...
GECCO
2007
Springer
183views Optimization» more  GECCO 2007»
13 years 11 months ago
Evolving distributed agents for managing air traffic
Air traffic management offers an intriguing real world challenge to designing large scale distributed systems using evolutionary computation. The ability to evolve effective air t...
Adrian K. Agogino, Kagan Tumer
PERCOM
2009
ACM
14 years 8 months ago
High Accuracy Context Recovery using Clustering Mechanisms
This paper examines the recovery of user context in indoor environments with existing wireless infrastructures to enable assistive systems. We present a novel approach to the extra...
Dinh Q. Phung, Brett Adams, Kha Tran, Svetha Venka...
VLSID
2007
IEEE
154views VLSI» more  VLSID 2007»
14 years 8 months ago
Model Based Test Generation for Microprocessor Architecture Validation
Functional validation of microprocessors is growing in complexity in current and future microprocessors. Traditionally, the different components (or validation collaterals) used i...
Sreekumar V. Kodakara, Deepak Mathaikutty, Ajit Di...
ARCS
2005
Springer
14 years 1 months ago
Adaptive Object Acquisition
We propose an active vision system for object acquisition. The core of our approach is a reinforcement learning module which learns a strategy to scan an object. The agent moves a...
Gabriele Peters, Claus-Peter Alberts, Markus Bries...