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» A Bayesian Approach to Tackling Hard Computational Problems
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RTSS
1998
IEEE
13 years 11 months ago
Synthesis Techniques for Low-Power Hard Real-Time Systems on Variable Voltage Processors
The energy efficiency of systems-on-a-chip can be much improved if one were to vary the supply voltage dynamically at run time. In this paper we describe the synthesis of systems-...
Inki Hong, Gang Qu, Miodrag Potkonjak, Mani B. Sri...
CVPR
2000
IEEE
13 years 12 months ago
Learning Patterns from Images by Combining Soft Decisions and Hard Decisions
We present a novel approach for learning patterns (sub-images) shared by multiple images without prior knowledge about the number and the positions of the patterns in the images. ...
Pengyu Hong, Thomas S. Huang, Roy Wang
BMCBI
2010
116views more  BMCBI 2010»
13 years 7 months ago
A hybrid approach to protein folding problem integrating constraint programming with local search
Background: The protein folding problem remains one of the most challenging open problems in computational biology. Simplified models in terms of lattice structure and energy func...
Abu Zafer M. Dayem Ullah, Kathleen Steinhöfel
ECCV
2010
Springer
14 years 25 days ago
Discriminative Learning with Latent Variables for Cluttered Indoor Scene Understanding
We address the problem of understanding an indoor scene from a single image in terms of recovering the layouts of the faces (floor, ceiling, walls) and furniture. A major challeng...
CEC
2005
IEEE
14 years 1 months ago
A hybrid model of evolutionary algorithms and branch-and-bound for combinatorial optimization problems
Abstract- Branch-and-Bound and evolutionary algorithms represent two very different approaches for tackling combinatorial optimization problems. These approaches are not incompatib...
José E. Gallardo, Carlos Cotta, Antonio J. ...