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UAI
2003
14 years 12 days ago
Learning Module Networks
Methods for learning Bayesian networks can discover dependency structure between observed variables. Although these methods are useful in many applications, they run into computat...
Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller,...
WAE
1998
118views Algorithms» more  WAE 1998»
14 years 12 days ago
Guarding Scenes against Invasive Hypercubes
In recent years realistic input models for geometric algorithms have been studied. The most important models introduced are fatness, low density, unclutteredness, and small simple...
Mark de Berg, Haggai David, Matthew J. Katz, Mark ...
MVA
1990
14 years 6 days ago
Edge Visibility Regions - A New Representation of the Environment of a Mobile Robot
This paper proposes a novel representation of the free space of mobile robot by distinct, non-overlapping regions called Edge Visibility Regions (EVRs). An algorithm to partition ...
Raj Talluri, J. K. Aggarwal
WCE
2007
14 years 6 days ago
Step-Size Bounds Analysis of the Generalized Multidelay Adaptive Filter
—In this paper, we analyze the bounds of the fixed common step-size parameter GMDFµ for the generalized multidelay adaptive filter (GMDF). Frequency domain adaptive filters are ...
Junghsi Lee, Hsu Chang Huang
CVPR
2010
IEEE
13 years 11 months ago
Learning kernels for variants of normalized cuts: Convex relaxations and applications
We propose a new algorithm for learning kernels for variants of the Normalized Cuts (NCuts) objective – i.e., given a set of training examples with known partitions, how should ...
Lopamudra Mukherjee, Vikas Singh, Jiming Peng, Chr...