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» Learning Gaussian processes from multiple tasks
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ICDAR
2009
IEEE
15 years 10 months ago
Statistical Modeling and Learning for Recognition-Based Handwritten Numeral String Segmentation
This paper proposes a recognition based approach to handwritten numeral string segmentation. We consider two classes: numeral strings segmented correctly or not. The feature vecto...
Yanjie Wang, Xiabi Liu, Yunde Jia
148
Voted
VR
2010
IEEE
151views Virtual Reality» more  VR 2010»
15 years 1 months ago
Virtually augmenting hundreds of real pictures: An approach based on learning, retrieval, and tracking
Tracking is a major issue of virtual and augmented reality applications. Single object tracking on monocular video streams is fairly well understood. However, when it comes to mul...
Julien Pilet, Hideo Saito
137
Voted
SEMWEB
2010
Springer
15 years 1 months ago
Supporting Natural Language Processing with Background Knowledge: Coreference Resolution Case
Systems based on statistical and machine learning methods have been shown to be extremely effective and scalable for the analysis of large amount of textual data. However, in the r...
Volha Bryl, Claudio Giuliano, Luciano Serafini, Ka...
ICASSP
2009
IEEE
15 years 7 months ago
Multichannel nonnegative matrix factorization in convolutive mixtures. With application to blind audio source separation
We consider inference in a general data-driven object-based model of multichannel audio data, assumed generated as a possibly underdetermined convolutive mixture of source signals...
Alexey Ozerov, Cédric Févotte
121
Voted
ICRA
2010
IEEE
128views Robotics» more  ICRA 2010»
15 years 2 months ago
A game-theoretic procedure for learning hierarchically structured strategies
— This paper addresses the problem of acquiring a hierarchically structured robotic skill in a nonstationary environment. This is achieved through a combination of learning primi...
Benjamin Rosman, Subramanian Ramamoorthy