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KDD
2010
ACM
222views Data Mining» more  KDD 2010»
13 years 11 months ago
Large linear classification when data cannot fit in memory
Recent advances in linear classification have shown that for applications such as document classification, the training can be extremely efficient. However, most of the existing t...
Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang, Chih-J...
MVA
1990
114views Computer Vision» more  MVA 1990»
13 years 10 months ago
Radar Image Processing for Locating Underground Linear Objects
This paper presents an image processing method for locating underground linear objects using ground-probing radar data. One of the problems when using groundprobing radars is how ...
Toru Kaneko
ICA
2010
Springer
13 years 10 months ago
Use of Prior Knowledge in a Non-Gaussian Method for Learning Linear Structural Equation Models
Abstract. We discuss causal structure learning based on linear structural equation models. Conventional learning methods most often assume Gaussianity and create many indistinguish...
Takanori Inazumi, Shohei Shimizu, Takashi Washio
JSCIC
2008
134views more  JSCIC 2008»
13 years 9 months ago
Discontinuous Hamiltonian Finite Element Method for Linear Hyperbolic Systems
Abstract We develop a Hamiltonian discontinuous finite element discretization of a generalized Hamiltonian system for linear hyperbolic systems, which include the rotating shallow ...
Yan Xu, Jaap J. W. van der Vegt, Onno Bokhove
MP
2006
84views more  MP 2006»
13 years 9 months ago
Optimal 3-terminal cuts and linear programming
Given an undirected graph G = (V;E) and three speci ed terminal nodes t1;t2;t3, a 3-cut is a subset A of E such that no two terminals are in the same component of GnA. If a non-neg...
Kevin K. H. Cheung, William H. Cunningham, Lawrenc...