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JMLR
2012
13 years 3 months ago
Contextual Bandit Learning with Predictable Rewards
Contextual bandit learning is a reinforcement learning problem where the learner repeatedly receives a set of features (context), takes an action and receives a reward based on th...
Alekh Agarwal, Miroslav Dudík, Satyen Kale,...
138
Voted
TOG
2012
253views Communications» more  TOG 2012»
13 years 3 months ago
Exploring collections of 3D models using fuzzy correspondences
Large collections of 3D models from the same object class (e.g., chairs, cars, animals) are now commonly available via many public repositories, but exploring the range of shape v...
Vladimir G. Kim, Wilmot Li, Niloy J. Mitra, Stephe...
TOG
2012
193views Communications» more  TOG 2012»
13 years 3 months ago
Schelling points on 3D surface meshes
This paper investigates “Schelling points” on 3D meshes, feature points selected by people in a pure coordination game due to their salience. To collect data for this investig...
Xiaobai Chen, Abulhair Saparov, Bill Pang, Thomas ...
125
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ISSTA
2012
ACM
13 years 3 months ago
Detecting inconsistencies via universal reachability analysis
Recent research has suggested that a large class of software bugs fall into the category of inconsistencies, or cases where two pieces of program code make incompatible assumption...
Aaron Tomb, Cormac Flanagan
PAMI
2012
13 years 3 months ago
CPMC: Automatic Object Segmentation Using Constrained Parametric Min-Cuts
—We present a novel framework to generate and rank plausible hypotheses for the spatial extent of objects in images using bottom-up computational processes and mid-level selectio...
João Carreira, Cristian Sminchisescu
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