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JMLR
2012
13 years 10 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,...
CVPR
2012
IEEE
13 years 10 months ago
Figure-ground segmentation by transferring window masks
We present a novel technique for figure-ground segmentation, where the goal is to separate all foreground objects in a test image from the background. We decompose the test image...
Daniel Küttel, Vittorio Ferrari
TVCG
2012
191views Hardware» more  TVCG 2012»
13 years 10 months ago
Direct Isosurface Visualization of Hex-Based High-Order Geometry and Attribute Representations
—In this paper, we present a novel isosurface visualization technique that guarantees the accurate visualization of isosurfaces with complex attribute data defined on (un)structu...
Tobias Martin, Elaine Cohen, Mike Kirby
SIBGRAPI
2008
IEEE
16 years 1 months ago
A New Training Algorithm for Pattern Recognition Technique Based on Straight Line Segments
Recently, a new Pattern Recognition technique based on straight line segments (SLSs) was presented. The key issue in this new technique is to find a function based on distances b...
João Henrique Burckas Ribeiro, Ronaldo Fumi...
TIT
2010
115views Education» more  TIT 2010»
15 years 2 months ago
On resource allocation in fading multiple-access channels-an efficient approximate projection approach
We consider the problem of rate and power allocation in a multiple-access channel. Our objective is to obtain rate and power allocation policies that maximize a general concave ut...
Ali ParandehGheibi, Atilla Eryilmaz, Asuman E. Ozd...