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» Improving Random Projections Using Marginal Information
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COMPGEOM
2010
ACM
15 years 4 months ago
On degrees in random triangulations of point sets
We study the expected number of interior vertices of degree i in a triangulation of a point set S, drawn uniformly at random from the set of all triangulations of S, and derive va...
Micha Sharir, Adam Sheffer, Emo Welzl
ACMDIS
2010
ACM
15 years 14 hour ago
The CLOTHO project: predicting application utility
When using the computer, each user has some notion that "these applications are important" at a given point in time. We term this subset of applications that the user va...
Joshua M. Hailpern, Nicholas Jitkoff, Joseph Subid...
ESANN
2006
15 years 1 months ago
Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
Long Han, Mark J. Embrechts, Boleslaw K. Szymanski...
CVPR
2009
IEEE
15 years 6 months ago
Saliency-based discriminant tracking
We propose a biologically inspired framework for visual tracking based on discriminant center surround saliency. At each frame, discrimination of the target from the background is...
Vijay Mahadevan, Nuno Vasconcelos
IPSN
2005
Springer
15 years 5 months ago
Design of a wireless sensor network platform for detecting rare, random, and ephemeral events
— We present the design of the eXtreme Scale Mote, a new sensor network platform for reliably detecting and classifying, and quickly reporting, rare, random, and ephemeral events...
Prabal Dutta, Mike Grimmer, Anish Arora, Steven B....