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ACL
2011
14 years 1 months ago
Domain Adaptation by Constraining Inter-Domain Variability of Latent Feature Representation
We consider a semi-supervised setting for domain adaptation where only unlabeled data is available for the target domain. One way to tackle this problem is to train a generative m...
Ivan Titov
KDD
2008
ACM
137views Data Mining» more  KDD 2008»
15 years 10 months ago
Learning classifiers from only positive and unlabeled data
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
Charles Elkan, Keith Noto
CVPR
2005
IEEE
15 years 11 months ago
A Closed Form Solution to Direct Motion Segmentation
We present a closed form solution to the problem of segmenting multiple 2-D motion models of the same type directly from the partial derivatives of an image sequence. We introduce...
Dheeraj Singaraju, René Vidal
SP
2003
IEEE
121views Security Privacy» more  SP 2003»
15 years 3 months ago
Specifying and Verifying Hardware for Tamper-Resistant Software
We specify a hardware architecture that supports tamper-resistant software by identifying an “idealized” hich gives the abstracted actions available to a single user program. ...
David Lie, John C. Mitchell, Chandramohan A. Thekk...
BMCBI
2007
161views more  BMCBI 2007»
14 years 10 months ago
Efficient classification of complete parameter regions based on semidefinite programming
Background: Current approaches to parameter estimation are often inappropriate or inconvenient for the modelling of complex biological systems. For systems described by nonlinear ...
Lars Kuepfer, Uwe Sauer, Pablo A. Parrilo