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ICPR
2006
IEEE
14 years 9 months ago
Object and Scene Classification: what does a Supervised Approach Provide us?
Given a set of images of scenes containing different object categories (e.g. grass, roads) our objective is to discover these objects in each image, and to use this object occurre...
Anna Bosch, Arnau Oliver, Robert Marti, Xavier Mu&...
FLAIRS
2009
13 years 5 months ago
Beating the Defense: Using Plan Recognition to Inform Learning Agents
In this paper, we investigate the hypothesis that plan recognition can significantly improve the performance of a casebased reinforcement learner in an adversarial action selectio...
Matthew Molineaux, David W. Aha, Gita Sukthankar
ICASSP
2011
IEEE
12 years 11 months ago
Cross-language bootstrapping based on completely unsupervised training using multilingual A-stabil
This paper presents our work on rapid language adaptation of acoustic models based on multilingual cross-language bootstrapping and unsupervised training. We used Automatic Speech...
Ngoc Thang Vu, Franziska Kraus, Tanja Schultz
IBPRIA
2005
Springer
14 years 1 months ago
A Learning Framework for Object Recognition on Image Understanding
Abstract. In this paper an object learning system for image understanding is proposed. The knowledge acquisition system is designed as a supervised learning task, which emphasises ...
Xavier Muñoz, Anna Bosch, Joan Martí...
JMLR
2008
95views more  JMLR 2008»
13 years 7 months ago
Learning Similarity with Operator-valued Large-margin Classifiers
A method is introduced to learn and represent similarity with linear operators in kernel induced Hilbert spaces. Transferring error bounds for vector valued large-margin classifie...
Andreas Maurer