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» Learning from Multiple Sources of Inaccurate Data
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193
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TIP
2010
145views more  TIP 2010»
14 years 10 months ago
Joint Manifolds for Data Fusion
The emergence of low-cost sensing architectures for diverse modalities has made it possible to deploy sensor networks that capture a single event from a large number of vantage po...
Mark A. Davenport, Chinmay Hegde, Marco F. Duarte,...
112
Voted
ALT
2009
Springer
15 years 7 months ago
Learning and Domain Adaptation
Domain adaptation is a fundamental learning problem where one wishes to use labeled data from one or several source domains to learn a hypothesis performing well on a different, y...
Yishay Mansour
130
Voted
RIAO
2007
15 years 5 months ago
Discriminative Fields for Modeling Semantic Concepts in Video
According to some current thinking, a very large number of semantic concepts could provide researcher a novel way to characterize video and be utilized for video retrieval and und...
Ming-yu Chen, Alexander G. Hauptmann
157
Voted
WCRE
2010
IEEE
15 years 2 months ago
Software Process Recovery: Recovering Process from Artifacts
—Often stakeholders, such as developers, managers, or buyers, want to find out what software development processes are being followed within a software project. Their reasons in...
Abram Hindle
117
Voted
KDD
1999
ACM
142views Data Mining» more  KDD 1999»
15 years 8 months ago
Mining GPS Data to Augment Road Models
Many advanced safety and navigation applications in vehicles require accurate, detailed digital maps, but manual lane measurements are expensive and time-consuming, making automat...
Seth Rogers, Pat Langley, Christopher Wilson