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AIPS
2011
13 years 4 days ago
Where Ignoring Delete Lists Works, Part II: Causal Graphs
The ignoring delete lists relaxation is of paramount importance for both satisficing and optimal planning. In earlier work (Hoffmann 2005), it was observed that the optimal relax...
Joerg Hoffmann
JAIR
2011
173views more  JAIR 2011»
12 years 11 months ago
Analyzing Search Topology Without Running Any Search: On the Connection Between Causal Graphs and h+
The ignoring delete lists relaxation is of paramount importance for both satisficing and optimal planning. In earlier work, it was observed that the optimal relaxation heuristic ...
J. Hoffmann
CVPR
2012
IEEE
11 years 11 months ago
On multiple foreground cosegmentation
In this paper, we address a challenging image segmentation problem called multiple foreground cosegmentation (MFC), which concerns a realistic scenario in general Webuser photo se...
Gunhee Kim, Eric P. Xing
KDD
2006
ACM
153views Data Mining» more  KDD 2006»
14 years 9 months ago
Spatial scan statistics: approximations and performance study
Spatial scan statistics are used to determine hotspots in spatial data, and are widely used in epidemiology and biosurveillance. In recent years, there has been much effort invest...
Deepak Agarwal, Andrew McGregor, Jeff M. Phillips,...
STOC
2004
ACM
145views Algorithms» more  STOC 2004»
14 years 8 months ago
Using mixture models for collaborative filtering
A collaborative filtering system at an e-commerce site or similar service uses data about aggregate user behavior to make recommendations tailored to specific user interests. We d...
Jon M. Kleinberg, Mark Sandler