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» Kernels and Regularization on Graphs
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PKDD
2009
Springer
155views Data Mining» more  PKDD 2009»
15 years 6 months ago
Dynamic Factor Graphs for Time Series Modeling
Abstract. This article presents a method for training Dynamic Factor Graphs (DFG) with continuous latent state variables. A DFG includes factors modeling joint probabilities betwee...
Piotr W. Mirowski, Yann LeCun
STOC
2003
ACM
114views Algorithms» more  STOC 2003»
16 years 3 days ago
Testing subgraphs in directed graphs
Let H be a fixed directed graph on h vertices, let G be a directed graph on n vertices and suppose that at least n2 edges have to be deleted from it to make it H-free. We show tha...
Noga Alon, Asaf Shapira
CIKM
2011
Springer
13 years 11 months ago
Towards feature selection in network
Traditional feature selection methods assume that the data are independent and identically distributed (i.i.d.). In real world, tremendous amounts of data are distributed in a net...
Quanquan Gu, Jiawei Han
ECCV
2008
Springer
16 years 1 months ago
An Experimental Comparison of Discrete and Continuous Shape Optimization Methods
Shape optimization is a problem which arises in numerous computer vision problems such as image segmentation and multiview reconstruction. In this paper, we focus on a certain clas...
Maria Klodt, Thomas Schoenemann, Kalin Kolev, Mare...
CP
2000
Springer
15 years 4 months ago
A Language for Audiovisual Template Specification and Recognition
We address the issue of detecting automatically occurrences of high level patterns in audiovisual documents. These patterns correspond to recurring sequences of shots, which are co...
Jean Carrive, Pierre Roy, François Pachet, ...