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WSDM
2012
ACM
245views Data Mining» more  WSDM 2012»
13 years 6 months ago
The early bird gets the buzz: detecting anomalies and emerging trends in information networks
In this work we propose a novel approach to anomaly detection in streaming communication data. We first build a stochastic model for the system based on temporal communication pa...
Brian Thompson
ICML
2004
IEEE
15 years 12 months ago
K-means clustering via principal component analysis
Principal component analysis (PCA) is a widely used statistical technique for unsupervised dimension reduction. K-means clustering is a commonly used data clustering for unsupervi...
Chris H. Q. Ding, Xiaofeng He
TWC
2008
87views more  TWC 2008»
14 years 11 months ago
A token-based scheduling scheme for WLANs supporting voice/data traffic and its performance analysis
Most of the existing medium access control (MAC) protocols for wireless local area networks (WLANs) provide prioritized access by adjusting the contention window sizes or interfram...
Ping Wang, Weihua Zhuang
ICIP
2002
IEEE
16 years 23 days ago
Face recognition using mixtures of principal components
We introduce an efficient statistical modeling technique called Mixture of Principal Components (MPC). This model is a linear extension to the traditional Principal Component Anal...
Deepak S. Turaga, Tsuhan Chen
ICMLA
2007
15 years 18 days ago
Maximum Likelihood Quantization of Genomic Features Using Dynamic Programming
Dynamic programming is introduced to quantize a continuous random variable into a discrete random variable. Quantization is often useful before statistical analysis or reconstruct...
Mingzhou (Joe) Song, Robert M. Haralick, Sté...