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» Graphical Models for Graph Matching
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ICML
2004
IEEE
16 years 1 months ago
Kernel conditional random fields: representation and clique selection
Kernel conditional random fields (KCRFs) are introduced as a framework for discriminative modeling of graph-structured data. A representer theorem for conditional graphical models...
John D. Lafferty, Xiaojin Zhu, Yan Liu
106
Voted
CCR
2010
151views more  CCR 2010»
14 years 9 months ago
iNFAnt: NFA pattern matching on GPGPU devices
This paper presents iNFAnt, a parallel engine for regular expression pattern matching. In contrast with traditional approaches, iNFAnt adopts non-deterministic automata, allowing ...
Niccolo Cascarano, Pierluigi Rolando, Fulvio Risso...
105
Voted
SIGGRAPH
1995
ACM
15 years 4 months ago
Modeling surfaces of arbitrary topology using manifolds
We describe an extension of B-splines to surfacesof arbitrary topology, including arbitrary boundaries. The technique inherits many of the properties of B-splines: local control, ...
Cindy Grimm, John F. Hughes
106
Voted
GG
2008
Springer
15 years 1 months ago
A Decentralized Implementation of Mobile Ambients
We present a graphical implementation for finite processes of the mobile ambients calculus. Our encoding uses unstructured (i.e., non hierarchical) graphs and it is sound and comp...
Fabio Gadducci, Giacoma Valentina Monreale
UAI
1996
15 years 1 months ago
A Graph-Theoretic Analysis of Information Value
We derive qualitative relationships about the informationalrelevance of variables in graphical decision models based on a consideration of the topology of the models. Speci cally,...
Kim-Leng Poh, Eric Horvitz