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151
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ICML
2010
IEEE
15 years 4 months ago
Learning Efficiently with Approximate Inference via Dual Losses
Many structured prediction tasks involve complex models where inference is computationally intractable, but where it can be well approximated using a linear programming relaxation...
Ofer Meshi, David Sontag, Tommi Jaakkola, Amir Glo...
183
Voted
ADG
2004
Springer
189views Mathematics» more  ADG 2004»
15 years 9 months ago
nD Polyhedral Scene Reconstruction from Single 2D Line Drawing by Local Propagation
In this paper, we study the problem of reconstructing the polyhedral structures and geometric positions of a general nD polyhedral scene from a single 2D line drawing. With the ide...
Hongbo Li
172
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PDP
2011
IEEE
14 years 7 months ago
Transport Optimization in Peer-to-Peer Networks
Abstract—The peer-to-peer networking concept has revolutionized the cost structure of Internet data dissemination by making large scale content delivery with low server cost feas...
Konstantin Miller, Adam Wolisz
145
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CORR
2012
Springer
176views Education» more  CORR 2012»
13 years 11 months ago
Capturing Topology in Graph Pattern Matching
Graph pattern matching is often defined in terms of subgraph isomorphism, an np-complete problem. To lower its complexity, various extensions of graph simulation have been consid...
Shuai Ma, Yang Cao, Wenfei Fan, Jinpeng Huai, Tian...
130
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IFL
1997
Springer
136views Formal Methods» more  IFL 1997»
15 years 8 months ago
Fully Persistent Graphs - Which One To Choose?
Functional programs, by nature, operate on functional, or persistent, data structures. Therefore, persistent graphs are a prerequisite to express functional graph algorithms. In th...
Martin Erwig