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ML
2006
ACM
163views Machine Learning» more  ML 2006»
15 years 6 months ago
Extremely randomized trees
Abstract This paper proposes a new tree-based ensemble method for supervised classification and regression problems. It essentially consists of randomizing strongly both attribute ...
Pierre Geurts, Damien Ernst, Louis Wehenkel
ICCV
2009
IEEE
16 years 11 months ago
Bayesian selection of scaling laws for motion modeling in images
Based on scaling laws describing the statistical structure of turbulent motion across scales, we propose a multiscale and non-parametric regularizer for optic-flow estimation. R...
Patrick H´eas, Etienne M´emin, Dominique Heitz, ...
CVPR
2003
IEEE
16 years 8 months ago
Spacetime Stereo: Shape Recovery for Dynamic Scenes
This paper extends the traditional binocular stereo problem into the spacetime domain, in which a pair of video streams is matched simultaneously instead of matching pairs of imag...
Li Zhang, Brian Curless, Steven M. Seitz
RECOMB
2005
Springer
16 years 6 months ago
Using Multiple Alignments to Improve Gene Prediction
The multiple species de novo gene prediction problem can be stated as follows: given an alignment of genomic sequences from two or more organisms, predict the location and structur...
Samuel S. Gross, Michael R. Brent
ICIC
2009
Springer
16 years 23 days ago
Function Sequence Genetic Programming
Genetic Programming(GP) can obtain a program structure to solve complex problem. This paper presents a new form of Genetic Programming, Function Sequence Genetic Programming (FSGP)...
Shixian Wang, Yuehui Chen, Peng Wu