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» Model Counting: A New Strategy for Obtaining Good Bounds
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SODA
2010
ACM
190views Algorithms» more  SODA 2010»
14 years 4 months ago
One-Counter Markov Decision Processes
We study the computational complexity of some central analysis problems for One-Counter Markov Decision Processes (OC-MDPs), a class of finitely-presented, countable-state MDPs. O...
Tomas Brazdil, Vaclav Brozek, Kousha Etessami, Ant...
MVA
1996
109views Computer Vision» more  MVA 1996»
13 years 8 months ago
Image Features Based on a Mixed Fractal Model and Evaluation of Their Effectiveness in Image Retrieval
Many research works on content-based image retrieval have made use of image features. On the other hand, many kinds of image features have also been developed in the research fiel...
Toshinori Hayashi, Yuzuru Tanaka
CONSTRAINTS
2007
83views more  CONSTRAINTS 2007»
13 years 7 months ago
Generic Incremental Algorithms for Local Search
When a new (global) constraint is introduced in local search, measures for the penalty and variable conflicts of that constraint must be defined, and incremental algorithms for m...
Magnus Ågren, Pierre Flener, Justin Pearson
ICRA
2009
IEEE
170views Robotics» more  ICRA 2009»
14 years 2 months ago
Automatic high-precision self-calibration of camera-robot systems
— In this article a new method is presented to obtain a full and precise calibration of camera-robot systems with eyein-hand cameras. It achieves a simultaneous and numerically s...
Andreas Jordt, Nils T. Siebel, Gerald Sommer
TC
2010
13 years 2 months ago
Model-Driven System Capacity Planning under Workload Burstiness
In this paper, we define and study a new class of capacity planning models called MAP queueing networks. MAP queueing networks provide the first analytical methodology to describe ...
Giuliano Casale, Ningfang Mi, Evgenia Smirni