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ICDE
2006
IEEE
201views Database» more  ICDE 2006»
15 years 1 days ago
Approximate Data Collection in Sensor Networks using Probabilistic Models
Wireless sensor networks are proving to be useful in a variety of settings. A core challenge in these networks is to minimize energy consumption. Prior database research has propo...
David Chu, Amol Deshpande, Joseph M. Hellerstein, ...
ICPR
2008
IEEE
14 years 12 months ago
Weakly supervised learning using proportion-based information: An application to fisheries acoustics
This paper addresses the inference of probabilistic classification models using weakly supervised learning. In contrast to previous work, the use of proportion-based training data...
Carla Scalarin, Jacques Masse, Jean-Marc Boucher, ...
VIS
2009
IEEE
300views Visualization» more  VIS 2009»
14 years 12 months ago
Predictor-Corrector Schemes for Visualization of Smoothed Particle Hydrodynamics Data
Abstract--In this paper we present a method for vortex core line extraction which operates directly on the smoothed particle hydrodynamics (SPH) representation and, by this, genera...
Benjamin Schindler, Raphael Fuchs, John Biddisco...
ICPR
2006
IEEE
14 years 11 months ago
A Non-Iterative Approach to Reconstruct Face Templates from Match Scores
Regeneration of biometric templates from match scores has security and privacy implications related to any biometric based authentication system. In this paper, we propose a novel...
Pranab Mohanty, Rangachar Kasturi, Sudeep Sarkar
ICML
2003
IEEE
14 years 11 months ago
Learning on the Test Data: Leveraging Unseen Features
This paper addresses the problem of classification in situations where the data distribution is not homogeneous: Data instances might come from different locations or times, and t...
Benjamin Taskar, Ming Fai Wong, Daphne Koller