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IJCV
2007
196views more  IJCV 2007»
15 years 3 months ago
Weakly Supervised Scale-Invariant Learning of Models for Visual Recognition
We investigate a method for learning object categories in a weakly supervised manner. Given a set of images known to contain the target category from a similar viewpoint, learning...
Robert Fergus, Pietro Perona, Andrew Zisserman
120
Voted
COLING
2002
15 years 3 months ago
A Comparative Evaluation of Data-driven Models in Translation Selection of Machine Translation
We present a comparative evaluation of two data-driven models used in translation selection of English-Korean machine translation. Latent semantic analysis(LSA) and probabilistic ...
Yuseop Kim, Jeong Ho Chang, Byoung-Tak Zhang
132
Voted
CORR
2002
Springer
123views Education» more  CORR 2002»
15 years 3 months ago
Survey propagation: an algorithm for satisfiability
: We study the satisfiability of randomly generated formulas formed by M clauses of exactly K literals over N Boolean variables. For a given value of N the problem is known to be m...
Alfredo Braunstein, Marc Mézard, Riccardo Z...
CSL
2002
Springer
15 years 3 months ago
Learning visually grounded words and syntax for a scene description task
A spoken language generation system has been developed that learns to describe objects in computer-generated visual scenes. The system is trained by a `show-and-tell' procedu...
Deb K. Roy
ALGORITHMICA
1998
103views more  ALGORITHMICA 1998»
15 years 3 months ago
On Bayes Methods for On-Line Boolean Prediction
We examine a general Bayesian framework for constructing on-line prediction algorithms in the experts setting. These algorithms predict the bits of an unknown Boolean sequence usin...
Nicolò Cesa-Bianchi, David P. Helmbold, San...