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» Computing Minimal Diagnoses with Critical Set Algorithms
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TKDE
2008
162views more  TKDE 2008»
14 years 9 months ago
Continuous k-Means Monitoring over Moving Objects
Given a dataset P, a k-means query returns k points in space (called centers), such that the average squared distance between each point in P and its nearest center is minimized. S...
Zhenjie Zhang, Yin Yang, Anthony K. H. Tung, Dimit...
ICCV
2011
IEEE
13 years 9 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
STOC
2005
ACM
138views Algorithms» more  STOC 2005»
15 years 3 months ago
A new strategy for querying priced information
This paper focuses on competitive function evaluation in the context of computing with priced information. A function f is given together with a cost cx for each variable x of f. ...
Ferdinando Cicalese, Eduardo Sany Laber
BMCBI
2008
160views more  BMCBI 2008»
14 years 10 months ago
Dynamic sensitivity analysis of biological systems
Background: A mathematical model to understand, predict, control, or even design a real biological system is a central theme in systems biology. A dynamic biological system is alw...
Wu Hsiung Wu, Feng Sheng Wang, Maw Shang Chang
ECCV
2002
Springer
15 years 11 months ago
Building Roadmaps of Local Minima of Visual Models
Getting trapped in suboptimal local minima is a perennial problem in model based vision, especially in applications like monocular human body tracking where complex nonlinear para...
Cristian Sminchisescu, Bill Triggs