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ICML
2010
IEEE
14 years 11 months ago
Modeling Transfer Learning in Human Categorization with the Hierarchical Dirichlet Process
Transfer learning can be described as the tion of abstract knowledge from one learning domain or task and the reuse of that knowledge in a related domain or task. In categorizatio...
Kevin R. Canini, Mikhail M. Shashkov, Thomas L. Gr...
ICIP
2009
IEEE
15 years 11 months ago
Maximum A Posteriori Super-resolution Of Compressed Video Using A New Multichannel Image Prior
Super-resolution (SR) algorithms for compressed video aim at recovering high-frequency information and estimating a high-resolution (HR) image or a set of HR images from a sequenc...
IEICET
2008
147views more  IEICET 2008»
14 years 10 months ago
Compression Function Design Principles Supporting Variable Output Lengths from a Single Small Function
In this paper, we introduce new compression function design principles supporting variable output lengths (multiples of size n). They are based on a function or block cipher with a...
Donghoon Chang, Mridul Nandi, Jesang Lee, Jaechul ...
ENTCS
2007
141views more  ENTCS 2007»
14 years 9 months ago
Compressing BMC Encodings with QBF
Symbolic model checking is PSPACE complete. Since QBF is the standard PSPACE complete problem, it is most natural to encode symbolic model checking problems as QBF formulas and th...
Toni Jussila, Armin Biere