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ML
2002
ACM
178views Machine Learning» more  ML 2002»
14 years 9 months ago
Metric-Based Methods for Adaptive Model Selection and Regularization
We present a general approach to model selection and regularization that exploits unlabeled data to adaptively control hypothesis complexity in supervised learning tasks. The idea ...
Dale Schuurmans, Finnegan Southey
CAIP
2001
Springer
166views Image Analysis» more  CAIP 2001»
15 years 2 months ago
Application of Adaptive Hypergraph Model to Impulsive Noise Detection
In this paper, using hypergraph theory, we introduce an image model called Adaptive Image Neighborhood Hypergraph (AINH). From this model we propose a combinatorial definition of ...
Soufiane Rital, Alain Bretto, Driss Aboutajdine, H...
HPDC
2010
IEEE
14 years 11 months ago
Lessons learned from moving earth system grid data sets over a 20 Gbps wide-area network
In preparation for the Intergovernmental Panel on Climate Change (IPCC) Fifth Assessment Report, the climate community will run the Coupled Model Intercomparison Project phase 5 (...
Rajkumar Kettimuthu, Alex Sim, Dan Gunter, Bill Al...
HOTOS
1999
IEEE
15 years 2 months ago
Conductor: A Framework for Distributed Adaptation
Abstract--End-to-end connectivity is growing increasingly diverse, with orders of magnitude differences in characteristics throughout the network. At the same time, most applicatio...
Mark Yarvis, Peter L. Reiher, Gerald J. Popek
ICASSP
2011
IEEE
14 years 1 months ago
Statistical analysis of multi-channel detection using data from airborne AESA radar
We investigate the ground clutter homogeneity and target detection performance using airborne multi-channel AESA (Active Electronically Scanned Array) radar data from flight trial...
Johan Degerman, Thomas Pernstal, Magnus Gisselfalt...