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KDD
2012
ACM
235views Data Mining» more  KDD 2012»
11 years 10 months ago
A near-linear time approximation algorithm for angle-based outlier detection in high-dimensional data
Outlier mining in d-dimensional point sets is a fundamental and well studied data mining task due to its variety of applications. Most such applications arise in high-dimensional ...
Ninh Pham, Rasmus Pagh
COMPGEOM
2010
ACM
14 years 22 days 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
ICCD
1997
IEEE
94views Hardware» more  ICCD 1997»
13 years 12 months ago
Pseudo-Random Pattern Testing of Bridging Faults
: This paper studies pseudo-random pattern testing of bridging faults. Although bridging faults are generally more random pattern testable than stuck-at faults, examples are shown ...
Nur A. Touba, Edward J. McCluskey
ESANN
2006
13 years 9 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...
IPSN
2005
Springer
14 years 1 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....