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» Abstract and Discrete Modeling of Spatio-Temporal Data Types
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PKDD
2010
Springer
129views Data Mining» more  PKDD 2010»
13 years 6 months ago
Smarter Sampling in Model-Based Bayesian Reinforcement Learning
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
Pablo Samuel Castro, Doina Precup
JACM
2002
87views more  JACM 2002»
13 years 7 months ago
Bounded concurrent timestamp systems using vector clocks
Abstract. Shared registers are basic objects used as communication mediums in asynchronous concurrent computation. A concurrent timestamp system is a higher typed communication obj...
Sibsankar Haldar, Paul M. B. Vitányi
MICCAI
2004
Springer
14 years 8 months ago
Adaptive Segmentation of Multi-modal 3D Data Using Robust Level Set Techniques
Abstract. A new 3D segmentation method based on the level set technique is proposed. The main contribution is a robust evolutionary model which requires no fine tuning of parameter...
Aly A. Farag, Hossam S. Hassan
VIS
2003
IEEE
121views Visualization» more  VIS 2003»
14 years 8 months ago
Hierarchical Clustering for Unstructured Volumetric Scalar Fields
We present a method to represent unstructured scalar fields at multiple levels of detail. Using a parallelizable classification algorithm to build a cluster hierarchy, we generate...
Christopher S. Co, Bjørn Heckel, Hans Hagen...
PKC
2011
Springer
219views Cryptology» more  PKC 2011»
12 years 10 months ago
Linearly Homomorphic Signatures over Binary Fields and New Tools for Lattice-Based Signatures
ded abstract of this work appears in Public Key Cryptography — PKC 2011, ed. R. Gennaro, Springer LNCS 6571 (2011), 1–16. This is the full version. We propose a linearly homom...
Dan Boneh, David Mandell Freeman