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» Maximal Vector Computation in Large Data Sets
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NIPS
2003
15 years 5 months ago
Sequential Bayesian Kernel Regression
We propose a method for sequential Bayesian kernel regression. As is the case for the popular Relevance Vector Machine (RVM) [10, 11], the method automatically identifies the num...
Jaco Vermaak, Simon J. Godsill, Arnaud Doucet
130
Voted
IPPS
2003
IEEE
15 years 9 months ago
Phylogenetic Tree Inference on PC Architectures with AxML/PAxML
Inference of phylogenetic trees comprising hundreds or even thousands of organisms based on the maximum likelihood method is computationally extremely expensive. In previous work,...
Alexandros Stamatakis, Thomas Ludwig 0002
VLDB
2007
ACM
149views Database» more  VLDB 2007»
15 years 10 months ago
Probabilistic Skylines on Uncertain Data
Uncertain data are inherent in some important applications. Although a considerable amount of research has been dedicated to modeling uncertain data and answering some types of qu...
Jian Pei, Bin Jiang, Xuemin Lin, Yidong Yuan
VISUALIZATION
1993
IEEE
15 years 8 months ago
GRASPARC: A Problem Solving Environment Integrating Computation and Visualization
Visualization has proved an e ective tool in the understanding of large data sets in computational science and engineering. There is growing interest today in the development of p...
Ken Brodlie, A. Poon, Helen Wright, L. Brankin, G....
ICCV
2001
IEEE
16 years 6 months ago
The Variable Bandwidth Mean Shift and Data-Driven Scale Selection
We present two solutions for the scale selection problem in computer vision. The rst one is completely nonparametric and is based on the the adaptive estimation of the normalized ...
Dorin Comaniciu, Visvanathan Ramesh, Peter Meer