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ICML
2007
IEEE
16 years 7 months ago
Conditional random fields for multi-agent reinforcement learning
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...
Xinhua Zhang, Douglas Aberdeen, S. V. N. Vishwanat...
CHI
2002
ACM
16 years 7 months ago
Movement model, hits distribution and learning in virtual keyboarding
In a ten-session experiment, six participants practiced typing with an expanding rehearsal method on an optimized virtual keyboard. Based on a large amount of in-situ performance ...
Shumin Zhai, Alison E. Sue, Johnny Accot
SIGMOD
2007
ACM
170views Database» more  SIGMOD 2007»
16 years 6 months ago
Cardinality estimation using sample views with quality assurance
Accurate cardinality estimation is critically important to high-quality query optimization. It is well known that conventional cardinality estimation based on histograms or simila...
Per-Åke Larson, Wolfgang Lehner, Jingren Zho...
CVPR
2010
IEEE
16 years 3 months ago
Parallel and Distributed Graph Cuts by Dual Decomposition
Graph cuts methods are at the core of many state-of-theart algorithms in computer vision due to their efficiency in computing globally optimal solutions. In this paper, we solve t...
Petter Strandmark, Fredrik Kahl
CVPR
2010
IEEE
16 years 2 months ago
A Novel Riemannian Framework for Shape Analysis of 3D Objects
In this paper we introduce a novel Riemannian framework for shape analysis of parameterized surfaces. We derive a distance function between any two surfaces that is invariant to r...
Sebastian Kurtek, Eric Klassen, Anuj Srivastava, Z...
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