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ICCV
2003
IEEE
16 years 4 months ago
Minimally-Supervised Classification using Multiple Observation Sets
This paper discusses building complex classifiers from a single labeled example and vast number of unlabeled observation sets, each derived from observation of a single process or...
Chris Stauffer
93
Voted
KDD
2007
ACM
376views Data Mining» more  KDD 2007»
16 years 2 months ago
Truth discovery with multiple conflicting information providers on the web
The world-wide web has become the most important information source for most of us. Unfortunately, there is no guarantee for the correctness of information on the web. Moreover, d...
Xiaoxin Yin, Jiawei Han, Philip S. Yu
TSP
2008
157views more  TSP 2008»
15 years 2 months ago
A Two-Stage Approach to Estimate the Angles of Arrival and the Angular Spreads of Locally Scattered Sources
We propose a new two-stage approach to estimate the nominal angles of arrival (AoAs) and the angular spreads (ASs) of multiple locally scattered sources using a uniform linear arra...
Mehrez Souden, Sofiène Affes, Jacob Benesty
SIGCOMM
2010
ACM
15 years 2 months ago
SourceSync: a distributed wireless architecture for exploiting sender diversity
Diversity is an intrinsic property of wireless networks. Recent years have witnessed the emergence of many distributed protocols like ExOR, MORE, SOAR, SOFT, and MIXIT that exploi...
Hariharan Rahul, Haitham Hassanieh, Dina Katabi
149
Voted
ML
2010
ACM
181views Machine Learning» more  ML 2010»
15 years 28 days ago
Decomposing the tensor kernel support vector machine for neuroscience data with structured labels
Abstract The tensor kernel has been used across the machine learning literature for a number of purposes and applications, due to its ability to incorporate samples from multiple s...
David R. Hardoon, John Shawe-Taylor