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UAI
2003
15 years 2 months 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,...
110
Voted
WAE
1998
118views Algorithms» more  WAE 1998»
15 years 2 months 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
15 years 1 months 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
102
Voted
WCE
2007
15 years 1 months 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
107
Voted
CVPR
2010
IEEE
15 years 26 days 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...