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JMLR
2010
154views more  JMLR 2010»
14 years 4 months ago
Infinite Predictor Subspace Models for Multitask Learning
Given several related learning tasks, we propose a nonparametric Bayesian model that captures task relatedness by assuming that the task parameters (i.e., predictors) share a late...
Piyush Rai, Hal Daumé III
JUCS
2010
159views more  JUCS 2010»
14 years 4 months ago
Authoring of Probabilistic Sequencing in Adaptive Hypermedia with Bayesian Networks
Abstract: One of the difficulties that self-directed learners face on their learning process is choosing the right learning resources. One of the goals of adaptive educational syst...
Sergio Gutiérrez Santos, Jaime Mayor-Berzal...
MIA
2010
128views more  MIA 2010»
14 years 4 months ago
Segmentation of image ensembles via latent atlases
Abstract. Spatial priors, such as probabilistic atlases, play an important role in MRI segmentation. However, the availability of comprehensive, reliable and suitable manual segmen...
Tammy Riklin-Raviv, Koen Van Leemput, Bjoern H. Me...
NGC
2010
Springer
183views Communications» more  NGC 2010»
14 years 4 months ago
Brain-like Computing Based on Distributed Representations and Neurodynamics
A key to overcoming the limitations of classical artificial intelligence and to deal well with enormous amounts of information might be brain-like computing in which distributed re...
Ken Yamane, Masahiko Morita
TIFS
2010
149views more  TIFS 2010»
14 years 4 months ago
Detecting Forgery From Static-Scene Video Based on Inconsistency in Noise Level Functions
Recently developed video editing techniques have enabled us to create realistic synthesized videos. Therefore, using video data as evidence in places such as courts of law requires...
Michihiro Kobayashi, Takahiro Okabe, Yoichi Sato