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» Prefix-Like Complexities and Computability in the Limit
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WSC
2001
14 years 11 months ago
The design of a web-based training system for simulation analysis
Simulation beginners often spend a great amount of time to accumulate the knowledge as well as the experience to overcome the technical complexity of computer simulation. Limited ...
Yu-Hui Tao, Shin-Ming Guo
SODA
2000
ACM
95views Algorithms» more  SODA 2000»
14 years 11 months ago
Towards a theory of cache-efficient algorithms
We present a model that enables us to analyze the running time of an algorithm on a computer with a memory hierarchy with limited associativity, in terms of various cache parameter...
Sandeep Sen, Siddhartha Chatterjee
STACS
2005
Springer
15 years 3 months ago
Kolmogorov-Loveland Randomness and Stochasticity
An infinite binary sequence X is Kolmogorov-Loveland (or KL) random if there is no computable non-monotonic betting strategy that succeeds on X in the sense of having an unbounde...
Wolfgang Merkle, Joseph S. Miller, André Ni...
ICPR
2010
IEEE
15 years 10 days ago
Fast Training of Object Detection Using Stochastic Gradient Descent
Training datasets for object detection problems are typically very large and Support Vector Machine (SVM) implementations are computationally complex. As opposed to these complex ...
Rob Wijnhoven, Peter H. N. De With
ECCV
2008
Springer
15 years 11 months ago
An Extended Phase Field Higher-Order Active Contour Model for Networks and Its Application to Road Network Extraction from VHR S
This paper addresses the segmentation from an image of entities that have the form of a `network', i.e. the region in the image corresponding to the entity is composed of bran...
Ian H. Jermyn, Josiane Zerubia, Ting Peng, V&eacut...