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DMIN
2006
134views Data Mining» more  DMIN 2006»
13 years 11 months ago
Hyper-Rectangular and k-Nearest-Neighbor Models in Stochastic Discrimination
The stochastic discrimination (SD) theory considers learning as building models of uniform coverage over data distributions. Despite successful trials of the derived SD method in s...
Iryna Skrypnyk, Tin Kam Ho
PR
2008
137views more  PR 2008»
13 years 10 months ago
Cancellable biometrics and annotations on BioHash
Lately, the once powerful one-factor authentication which is based solely on either password, token or biometric approach, appears to be insufficient in addressing the challenges ...
Andrew Beng Jin Teoh, Yip Wai Kuan, Sangyoun Lee
SIGMETRICS
2011
ACM
178views Hardware» more  SIGMETRICS 2011»
13 years 5 months ago
Should we worry about memory loss?
In recent years the High Performance Computing (HPC) industry has benefited from the development of higher density multi-core processors. With recent chips capable of executing u...
O. Perks, Simon D. Hammond, S. J. Pennycook, Steph...
TIT
2010
174views Education» more  TIT 2010»
13 years 4 months ago
Toeplitz Compressed Sensing Matrices With Applications to Sparse Channel Estimation
Compressed sensing (CS) has recently emerged as a powerful signal acquisition paradigm. In essence, CS enables the recovery of high-dimensional sparse signals from relatively few ...
Jarvis Haupt, Waheed Uz Zaman Bajwa, Gil M. Raz, R...
KDD
2012
ACM
235views Data Mining» more  KDD 2012»
12 years 17 days 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