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JMLR
2012
13 years 9 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 9 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 9 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 1 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...