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» Algorithms for Challenging Motif Problems
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ICML
2010
IEEE
15 years 5 months ago
OTL: A Framework of Online Transfer Learning
In this paper, we investigate a new machine learning framework called Online Transfer Learning (OTL) that aims to transfer knowledge from some source domain to an online learning ...
Peilin Zhao, Steven C. H. Hoi
MM
2010
ACM
127views Multimedia» more  MM 2010»
15 years 4 months ago
Mining and cropping common objects from images
Discovering common objects that appear frequently in a number of images is a challenging problem, due to (1) the appearance variations of the same common object and (2) the enormo...
Gangqiang Zhao, Junsong Yuan
CGF
2010
149views more  CGF 2010»
15 years 4 months ago
Over Two Decades of Integration-Based, Geometric Flow Visualization
With ever increasing computing power, it is possible to process ever more complex fluid simulations. However, a gap between data set sizes and our ability to visualize them remain...
Tony McLoughlin, Robert S. Laramee, Ronald Peikert...
ML
2008
ACM
15 years 4 months ago
Margin-based first-order rule learning
Abstract We present a new margin-based approach to first-order rule learning. The approach addresses many of the prominent challenges in first-order rule learning, such as the comp...
Ulrich Rückert, Stefan Kramer
TROB
2008
159views more  TROB 2008»
15 years 4 months ago
Distributed Connectivity Control of Mobile Networks
Control of mobile networks raises fundamental and novel problems in controlling the structure of the resulting dynamic graphs. In particular, in applications involving mobile senso...
Michael M. Zavlanos, George J. Pappas