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JMLR
2012
11 years 10 months ago
Adaptive MCMC with Bayesian Optimization
This paper proposes a new randomized strategy for adaptive MCMC using Bayesian optimization. This approach applies to nondifferentiable objective functions and trades off explor...
Nimalan Mahendran, Ziyu Wang, Firas Hamze, Nando d...
MICCAI
2009
Springer
14 years 8 months ago
Probabilistic Region Matching in Narrow-Band Endoscopy for Targeted Optical Biopsy
Recent advances in biophotonics have enabled in-vivo, in-situ histopathology for routine clinical applications. The non-invasive nature of these optical `biopsy' techniques, h...
Selen Atasoy, Ben Glocker, Stamatia Giannarou, ...
NIPS
2000
13 years 8 months ago
Discovering Hidden Variables: A Structure-Based Approach
A serious problem in learning probabilistic models is the presence of hidden variables. These variables are not observed, yet interact with several of the observed variables. As s...
Gal Elidan, Noam Lotner, Nir Friedman, Daphne Koll...
ICCD
1999
IEEE
122views Hardware» more  ICCD 1999»
13 years 11 months ago
Design and Evaluation of a Selective Compressed Memory System
This research explores any potential for an on-chip cache compression which can reduce not only cache miss ratio but also miss penalty, if main memory is also managed in compresse...
Jang-Soo Lee, Won-Kee Hong, Shin-Dug Kim
ICRA
2008
IEEE
149views Robotics» more  ICRA 2008»
14 years 1 months ago
Single camera vision-only SLAM on a suburban road network
—Simultaneous Localization And Mapping (SLAM) is one of the major challenges in mobile robotics. Probabilistic techniques using high-end range finding devices are well establishe...
Michael Milford, Gordon Wyeth