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JCPHY
2011
86views more  JCPHY 2011»
12 years 8 months ago
A numerical scheme for particle-laden thin film flow in two dimensions
The physics of particle-laden thin film flow is not fully understood, and recent experiments have raised questions with current theory. There is a need for fully two-dimensional...
Matthew R. Mata, Andrea L. Bertozzi
NIPS
2003
13 years 7 months ago
Learning a Distance Metric from Relative Comparisons
This paper presents a method for learning a distance metric from relative comparison such as “A is closer to B than A is to C”. Taking a Support Vector Machine (SVM) approach,...
Matthew Schultz, Thorsten Joachims
PKDD
2010
Springer
169views Data Mining» more  PKDD 2010»
13 years 3 months ago
Efficient and Numerically Stable Sparse Learning
We consider the problem of numerical stability and model density growth when training a sparse linear model from massive data. We focus on scalable algorithms that optimize certain...
Sihong Xie, Wei Fan, Olivier Verscheure, Jiangtao ...
ICML
2000
IEEE
14 years 6 months ago
Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning
Algorithms for feature selection fall into two broad categories: wrappers that use the learning algorithm itself to evaluate the usefulness of features and filters that evaluate f...
Mark A. Hall
PAMI
2011
13 years 20 days ago
Linear Local Models for Monocular Reconstruction of Deformable Surfaces
—Recovering the 3D shape of a nonrigid surface from a single viewpoint is known to be both ambiguous and challenging. Resolving the ambiguities typically requires prior knowledge...
Mathieu Salzmann, Pascal Fua