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ICMLA
2009
15 years 3 months ago
Learning Deep Neural Networks for High Dimensional Output Problems
State-of-the-art pattern recognition methods have difficulty dealing with problems where the dimension of the output space is large. In this article, we propose a new framework ba...
Benjamin Labbé, Romain Hérault, Cl&e...
ICWSM
2009
15 years 3 months ago
From Episodes to Sagas: Understanding the News by Identifying Temporally Related Story Sequences
Current news interfaces are largely driven by recent information, even though many events are better interpreted in context of previous related events. To address this problem, we...
Ramnath Balasubramanyan, Frank Lin, William W. Coh...
CORR
2010
Springer
69views Education» more  CORR 2010»
15 years 3 months ago
Extending INET Framework for Directional and Asymmetrical Wireless Communications
This paper reports our work on extending the OMNeT++ INET Framework with a directional radio model, putting a special emphasis on the implementation of asymmetrical communications...
Paula Uribe, Juan Carlos Maureira Bravo, Olivier D...
IJDMB
2010
128views more  IJDMB 2010»
15 years 3 months ago
Computing approximate solutions of the protein structure determination problem using global constraints on discrete crystal latt
: Crystal lattices are discrete models of the three-dimensional space that have been effectively employed to facilitate the task of determining proteins' natural conformation....
Alessandro Dal Palù, Agostino Dovier, Enric...
170
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JOTA
2011
149views more  JOTA 2011»
15 years 1 months ago
Globally Convergent Cutting Plane Method for Nonconvex Nonsmooth Minimization
: Nowadays, solving nonsmooth (not necessarily differentiable) optimization problems plays a very important role in many areas of industrial applications. Most of the algorithms d...
Napsu Karmitsa, Mario Tanaka Filho, José He...