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» Learning with Weighted Transducers
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ICASSP
2011
IEEE
13 years 28 days ago
Occlusion boundary detection using an online learning framework
In this work, a novel occlusion detection algorithm using online learning is proposed for video applications. Each frame of a video is considered as a time-step for which pixels a...
Natan Jacobson, Yoav Freund, Truong Q. Nguyen
FLAIRS
2008
13 years 11 months ago
Unsupervised Learning of General-Specific Noun Relations from the Web
In this paper, we propose a new methodology based on directed weighted graphs and the TextRank algorithm to automatically induce general-specific noun relations from web corpora f...
Gaël Dias, Raycho Mukelov, Guillaume Cleuziou
AAAI
2006
13 years 10 months ago
Learning Basis Functions in Hybrid Domains
Markov decision processes (MDPs) with discrete and continuous state and action components can be solved efficiently by hybrid approximate linear programming (HALP). The main idea ...
Branislav Kveton, Milos Hauskrecht
IDA
2006
Springer
13 years 9 months ago
Classification of symbolic objects: A lazy learning approach
Symbolic data analysis aims at generalizing some standard statistical data mining methods, such as those developed for classification tasks, to the case of symbolic objects (SOs). ...
Annalisa Appice, Claudia d'Amato, Floriana Esposit...
ICML
2007
IEEE
14 years 10 months ago
Approximate maximum margin algorithms with rules controlled by the number of mistakes
We present a family of incremental Perceptron-like algorithms (PLAs) with margin in which both the "effective" learning rate, defined as the ratio of the learning rate t...
Petroula Tsampouka, John Shawe-Taylor