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SDM
2009
SIAM
114views Data Mining» more  SDM 2009»
16 years 3 months ago
GAD: General Activity Detection for Fast Clustering on Large Data.
In this paper, we propose GAD (General Activity Detection) for fast clustering on large scale data. Within this framework we design a set of algorithms for different scenarios: (...
Jiawei Han, Liangliang Cao, Sangkyum Kim, Xin Jin,...
MPC
1995
Springer
150views Mathematics» more  MPC 1995»
15 years 10 months ago
Architecture Independent Massive Parallelization of Divide-and-Conquer Algorithms
Abstract. We present a strategy to develop, in a functional setting, correct, e cient and portable Divide-and-Conquer (DC) programs for massively parallel architectures. Starting f...
Klaus Achatz, Wolfram Schulte
NIPS
1997
15 years 8 months ago
Mapping a Manifold of Perceptual Observations
Nonlinear dimensionality reduction is formulated here as the problem of trying to find a Euclidean feature-space embedding of a set of observations that preserves as closely as p...
Joshua B. Tenenbaum
KDD
2009
ACM
193views Data Mining» more  KDD 2009»
16 years 1 months ago
Category detection using hierarchical mean shift
Many applications in surveillance, monitoring, scientific discovery, and data cleaning require the identification of anomalies. Although many methods have been developed to iden...
Pavan Vatturi, Weng-Keen Wong
ICDM
2003
IEEE
158views Data Mining» more  ICDM 2003»
15 years 12 months ago
Identifying Markov Blankets with Decision Tree Induction
The Markov Blanket of a target variable is the minimum conditioning set of variables that makes the target independent of all other variables. Markov Blankets inform feature selec...
Lewis Frey, Douglas H. Fisher, Ioannis Tsamardinos...