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IC3
2009
15 years 4 months ago
Local Subspace Based Outlier Detection
Abstract. Existing studies in outlier detection mostly focus on detecting outliers in full feature space. But most algorithms tend to break down in highdimensional feature spaces b...
Ankur Agrawal
ICDE
2003
IEEE
97views Database» more  ICDE 2003»
16 years 8 months ago
Spectral LPM: An Optimal Locality-Preserving Mapping using the Spectral (not Fractal) Order
For the past two decades, fractals (e.g., the Hilbert and Peano space-filling curves) have been considered the natural method for providing a locality-preserving mapping. The idea...
Mohamed F. Mokbel, Walid G. Aref, Ananth Grama
STOC
2005
ACM
118views Algorithms» more  STOC 2005»
16 years 7 months ago
Euclidean distortion and the sparsest cut
We prove that every n-point metric space of negative type (and, in particular, every npoint subset of L1) embeds into a Euclidean space with distortion O( log n ? log log n), a r...
Sanjeev Arora, James R. Lee, Assaf Naor
CVPR
2006
IEEE
16 years 25 days ago
Nonlinear Mean Shift for Clustering over Analytic Manifolds
The mean shift algorithm is widely applied for nonparametric clustering in Euclidean spaces. Recently, mean shift was generalized for clustering on matrix Lie groups. We further e...
Raghav Subbarao, Peter Meer
GECCO
2003
Springer
113views Optimization» more  GECCO 2003»
15 years 12 months ago
The Effect of Binary Matching Rules in Negative Selection
Negative selection algorithm is one of the most widely used techniques in the field of artificial immune systems. It is primarily used to detect changes in data/behavior patterns...
Fabio A. González, Dipankar Dasgupta, Jonat...