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» Making Better Use of Global Discretization
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ACL
2006
13 years 8 months ago
Minimum Risk Annealing for Training Log-Linear Models
When training the parameters for a natural language system, one would prefer to minimize 1-best loss (error) on an evaluation set. Since the error surface for many natural languag...
David A. Smith, Jason Eisner
ECCV
2002
Springer
14 years 9 months ago
Phase-Based Local Features
Abstract. We introduce a new type of local feature basedon the phaseand amplitude responsesof complex-valuedsteerable filters. The designof this local feature is motivated by a des...
Gustavo Carneiro, Allan D. Jepson
SARA
2009
Springer
14 years 9 hour ago
Light Algorithms for Maintaining Max-RPC During Search
Abstract. This article presents two new algorithms whose purpose is to maintain the Max-RPC domain filtering consistency during search with a minimal memory footprint and implemen...
Julien Vion, Romuald Debruyne
AAMAS
2004
Springer
13 years 7 months ago
Multi-Dimensional, MultiStep Negotiation
We present a multi-dimensional, multi-step negotiation mechanism for task allocation among cooperative agents based on distributed search. This mechanism uses marginal utility gai...
Xiaoqin Zhang, Victor R. Lesser, Rodion M. Podoroz...
JCB
2007
94views more  JCB 2007»
13 years 7 months ago
Locality and Gaps in RNA Comparison
Locality is an important and well-studied notion in comparative analysis of biological sequences. Similarly, taking into account affine gap penalties when calculating biological ...
Rolf Backofen, Shihyen Chen, Danny Hermelin, Gad M...