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SASO
2007
IEEE
14 years 15 days ago
Novel Mathematics-Inspired Algorithms for Self-Adaptive Peer-to-Peer Computing
This paper describes, and evaluates benefits of, a design methodology to translate certain mathematical models into the design of novel, self-adaptive, peer-to-peer (p2p) distrib...
Steven Y. Ko, Indranil Gupta, Yookyung Jo
IPMI
2011
Springer
12 years 9 months ago
Actin Filament Segmentation Using Dynamic Programming
Abstract. We introduce a novel algorithm for actin filament segmentation in 2D TIRFM image sequences. This problem is difficult because actin filaments dynamically change shapes ...
Hongsheng Li, Tian Shen, Xiaolei Huang
FOCS
2004
IEEE
13 years 10 months ago
Approximating the Stochastic Knapsack Problem: The Benefit of Adaptivity
We consider a stochastic variant of the NP-hard 0/1 knapsack problem in which item values are deterministic and item sizes are independent random variables with known, arbitrary d...
Brian C. Dean, Michel X. Goemans, Jan Vondrá...
ICCV
2011
IEEE
12 years 6 months ago
HEAT: Iterative Relevance Feedback with One Million Images
It has been shown repeatedly that iterative relevance feedback is a very efficient solution for content-based image retrieval. However, no existing system scales gracefully to hu...
Nicolae Suditu, Francois Fleuret
NIPS
2008
13 years 7 months ago
Bayesian Experimental Design of Magnetic Resonance Imaging Sequences
We show how improved sequences for magnetic resonance imaging can be found through optimization of Bayesian design scores. Combining approximate Bayesian inference and natural ima...
Matthias W. Seeger, Hannes Nickisch, Rolf Pohmann,...