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ICCV
2011
IEEE
14 years 6 months ago
Perturb-and-MAP Random Fields: Using Discrete Optimization\\to Learn and Sample from Energy Models
We propose a novel way to induce a random field from an energy function on discrete labels. It amounts to locally injecting noise to the energy potentials, followed by finding t...
George Papandreou, Alan L. Yuille
CVPR
2007
IEEE
16 years 8 months ago
Feature Mining for Image Classification
The efficiency and robustness of a vision system is often largely determined by the quality of the image features available to it. In data mining, one typically works with immense...
Piotr Dollár, Zhuowen Tu, Hai Tao, Serge Be...
SC
2009
ACM
16 years 23 days ago
Enabling high-fidelity neutron transport simulations on petascale architectures
The UNIC code is being developed as part of the DOE’s Nuclear Energy Advanced Modeling and Simulation (NEAMS) program. UNIC is an unstructured, deterministic neutron transport c...
Dinesh K. Kaushik, Micheal Smith, Allan Wollaber, ...
FDL
2006
IEEE
16 years 1 days ago
MCF: A Metamodeling-based Visual Component Composition Framework
Reusing IP-cores to construct system models facilitated by automated generation of glue-logic, and automated composability checks can help designers to create efficient simulation...
Deepak Mathaikutty, Sandeep K. Shukla
PEWASUN
2006
ACM
15 years 12 months ago
Experimental analysis of a transport protocol for ad hoc networks (TPA)
Many previous papers have pointed out that TCP performance in multi-hop ad hoc networks is not optimal. This is due to several TCP design principles that reflect the characteristi...
Giuseppe Anastasi, Emilio Ancillotti, Marco Conti,...