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» Learning from Multiple Annotators with Gaussian Processes
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172
Voted
CORR
2010
Springer
189views Education» more  CORR 2010»
15 years 3 months ago
An Optimal Dynamic Mechanism for Multi-Armed Bandit Processes
We consider the problem of revenue-optimal dynamic mechanism design in settings where agents' types evolve over time as a function of their (both public and private) experien...
Sham M. Kakade, Ilan Lobel, Hamid Nazerzadeh
140
Voted
SAC
2005
ACM
15 years 9 months ago
Automatic learning of text-to-concept mappings exploiting WordNet-like lexical networks
A great jump towards the advent of the Semantic Web will take place when a critical mass of web resources is available for use in a semantic way. This goal can be reached by the c...
Dario Bonino, Fulvio Corno, Federico Pescarmona
191
Voted
ICCV
2009
IEEE
15 years 1 months ago
Selection and context for action recognition
Recognizing human action in non-instrumented video is a challenging task not only because of the variability produced by general scene factors like illumination, background, occlu...
Dong Han, Liefeng Bo, Cristian Sminchisescu
150
Voted
PAKDD
2007
ACM
152views Data Mining» more  PAKDD 2007»
15 years 9 months ago
Spectral Clustering Based Null Space Linear Discriminant Analysis (SNLDA)
While null space based linear discriminant analysis (NLDA) obtains a good discriminant performance, the ability easily suffers from an implicit assumption of Gaussian model with sa...
Wenxin Yang, Junping Zhang
162
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Clustering of bootstrapped acoustic model with full covariance
HMM-based acoustic models built from bootstrap are generally very large, especially when full covariance matrices are used for Gaussians. Therefore, clustering is needed to compac...
Xin Chen, Xiaodong Cui, Jian Xue, Peder Olsen, Joh...