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KDD
2004
ACM
237views Data Mining» more  KDD 2004»
16 years 7 months ago
Bayesian Model-Averaging in Unsupervised Learning From Microarray Data
Unsupervised identification of patterns in microarray data has been a productive approach to uncovering relationships between genes and the biological process in which they are in...
Mario Medvedovic, Junhai Guo
ICMCS
2008
IEEE
178views Multimedia» more  ICMCS 2008»
16 years 1 months ago
Automatic character identification in feature-length films
This paper presents a novel approach to automatically identify characters in films using audio visual cues and text analysis. The approach consists of three stages: (i) frontal f...
Yifan Zhang, Changsheng Xu, Hanqing Lu
ICDM
2007
IEEE
129views Data Mining» more  ICDM 2007»
16 years 1 months ago
A Generalization of Proximity Functions for K-Means
K-means is a widely used partitional clustering method. A large amount of effort has been made on finding better proximity (distance) functions for K-means. However, the common c...
Junjie Wu, Hui Xiong, Jian Chen, Wenjun Zhou
CLUSTER
2000
IEEE
15 years 11 months ago
Parallel Simulation of 3D Nonlinear Acoustic Fields on a Linux-cluster
Simulating the propagation of 3D ultrasonic waves in a nonlinear medium is a demanding task. It requires the solution of time-dependent and nonlinear partial differential equation...
Xing Cai, Åsmund Ødegård
PKDD
1999
Springer
130views Data Mining» more  PKDD 1999»
15 years 11 months ago
OPTICS-OF: Identifying Local Outliers
: For many KDD applications finding the outliers, i.e. the rare events, is more interesting and useful than finding the common cases, e.g. detecting criminal activities in E-commer...
Markus M. Breunig, Hans-Peter Kriegel, Raymond T. ...