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ICML
2010
IEEE
15 years 7 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 6 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
CORR
2010
Springer
153views Education» more  CORR 2010»
15 years 6 months ago
GraphLab: A New Framework for Parallel Machine Learning
Designing and implementing efficient, provably correct parallel machine learning (ML) algorithms is challenging. Existing high-level parallel abstractions like MapReduce are insuf...
Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny B...
171
Voted
FMSD
2006
131views more  FMSD 2006»
15 years 6 months ago
Specification and analysis of the AER/NCA active network protocol suite in Real-Time Maude
This paper describes the application of the Real-Time Maude tool and the Maude formal methodology to the specification and analysis of the AER/NCA suite of active network multicast...
Peter Csaba Ölveczky, José Meseguer, C...
CGF
2007
158views more  CGF 2007»
15 years 6 months ago
Soft Articulated Characters with Fast Contact Handling
Fast contact handling of soft articulated characters is a computationally challenging problem, in part due to complex interplay between skeletal and surface deformation. We presen...
Nico Galoppo, Miguel A. Otaduy, Serhat Tekin, Mark...