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TACAS
2004
Springer
132views Algorithms» more  TACAS 2004»
15 years 10 months ago
Numerical vs. Statistical Probabilistic Model Checking: An Empirical Study
Numerical analysis based on uniformisation and statistical techniques based on sampling and simulation are two distinct approaches for transient analysis of stochastic systems. We ...
Håkan L. S. Younes, Marta Z. Kwiatkowska, Ge...
GECCO
2006
Springer
206views Optimization» more  GECCO 2006»
15 years 8 months ago
Adaptive discretization for probabilistic model building genetic algorithms
This paper proposes an adaptive discretization method, called Split-on-Demand (SoD), to enable the probabilistic model building genetic algorithm (PMBGA) to solve optimization pro...
Chao-Hong Chen, Wei-Nan Liu, Ying-Ping Chen
DAGSTUHL
2007
15 years 6 months ago
An analytic solution to the alibi query in the bead model for moving object data
Abstract. Moving objects produce trajectories, which are stored in databases by means of finite samples of time-stamped locations. When also speed limitations in these sample poin...
Bart Kuijpers, Walied Othman
AAAI
1993
15 years 6 months ago
Learning Object Models from Appearance
We address the problem of automatically learning object models for recognition and pose estimation. In contrast to the traditional approach, we formulate the recognition problem a...
Hiroshi Murase, Shree K. Nayar
MVA
1996
109views Computer Vision» more  MVA 1996»
15 years 6 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