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» Adaptive Transfer Learning
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101
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JCST
2011
88views more  JCST 2011»
14 years 5 months ago
Transfer Learning via Multi-View Principal Component Analysis
Yangsheng Ji, Jiajun Chen, Gang Niu, Lin Shang, Xi...
109
Voted
ISCAS
2007
IEEE
149views Hardware» more  ISCAS 2007»
15 years 8 months ago
Low-Power Circuits for Brain-Machine Interfaces
—This paper presents work on ultra-low-power circuits for brain–machine interfaces with applications for paralysis prosthetics, stroke, Parkinson’s disease, epilepsy, prosthe...
Rahul Sarpeshkar, Woradorn Wattanapanitch, Benjami...
132
Voted
UAI
2008
15 years 4 months ago
Convex Point Estimation using Undirected Bayesian Transfer Hierarchies
When related learning tasks are naturally arranged in a hierarchy, an appealing approach for coping with scarcity of instances is that of transfer learning using a hierarchical Ba...
Gal Elidan, Benjamin Packer, Geremy Heitz, Daphne ...
108
Voted
SIGGRAPH
1990
ACM
15 years 6 months ago
Adaptive mesh generation for global diffuse illumination
Rapid developments in the design of algorithms for rendering globally illuminated scenes have taken place in the past five years. Net energy methods such as the hemicube and other...
A. T. Campbell III, Donald S. Fussell
120
Voted
SCN
2010
Springer
124views Communications» more  SCN 2010»
15 years 14 days ago
Efficiency-Improved Fully Simulatable Adaptive OT under the DDH Assumption
At Asiacrypt 2009, Kurosawa and Nojima showed a fully simulatable adaptive oblivious transfer (OT) protocol under the DDH assumption in the standard model. However, Green and Hohen...
Kaoru Kurosawa, Ryo Nojima, Le Trieu Phong