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VIS
2009
IEEE
154views Visualization» more  VIS 2009»
14 years 8 months ago
A User Study to Compare Four Uncertainty Visualization Methods for 1D and 2D Datasets
Many techniques have been proposed to show uncertainty in data visualizations. However, very little is known about their effectiveness in conveying meaningful information. In this ...
Jibonananda Sanyal, Song Zhang, Gargi Bhattachar...
WWW
2007
ACM
14 years 8 months ago
GigaHash: scalable minimal perfect hashing for billions of urls
A minimal perfect function maps a static set of keys on to the range of integers {0,1,2, ... , - 1}. We present a scalable high performance algorithm based on random graphs for ...
Kumar Chellapilla, Anton Mityagin, Denis Xavier Ch...
ASIAN
2004
Springer
153views Algorithms» more  ASIAN 2004»
13 years 11 months ago
Chi-Square Matrix: An Approach for Building-Block Identification
This paper presents a line of research in genetic algorithms (GAs), called building-block identification. The building blocks (BBs) are common structures inferred from a set of sol...
Chatchawit Aporntewan, Prabhas Chongstitvatana
CVPR
2007
IEEE
14 years 9 months ago
What makes a good model of natural images?
Many low-level vision algorithms assume a prior probability over images, and there has been great interest in trying to learn this prior from examples. Since images are very non G...
Yair Weiss, William T. Freeman
EUROCAST
2007
Springer
182views Hardware» more  EUROCAST 2007»
14 years 1 months ago
A k-NN Based Perception Scheme for Reinforcement Learning
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
José Antonio Martin H., Javier de Lope Asia...