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ICDM
2003
IEEE
111views Data Mining» more  ICDM 2003»
16 years 5 days ago
OP-Cluster: Clustering by Tendency in High Dimensional Space
Clustering is the process of grouping a set of objects into classes of similar objects. Because of unknownness of the hidden patterns in the data sets, the definition of similari...
Jinze Liu, Wei Wang 0010
CSB
2002
IEEE
109views Bioinformatics» more  CSB 2002»
15 years 12 months ago
Towards Automatic Clustering of Protein Sequences
Analyzing protein sequence data becomes increasingly important recently. Most previous work on this area has mainly focused on building classification models. In this paper, we i...
Jiong Yang, Wei Wang 0010
VISUALIZATION
2002
IEEE
15 years 11 months ago
Exploring Surface Characteristics with Interactive Gaussian Images (A Case Study)
The Gauss map projects surface normals to a unit sphere, providing a powerful visualization of the geometry of a graphical object. It can be used to predict visual events caused b...
Bradley C. Lowekamp, Penny Rheingans, Terry S. Yoo
ICANN
2009
Springer
15 years 11 months ago
An EM Based Training Algorithm for Recurrent Neural Networks
Recurrent neural networks serve as black-box models for nonlinear dynamical systems identification and time series prediction. Training of recurrent networks typically minimizes t...
Jan Unkelbach, Yi Sun, Jürgen Schmidhuber
PAKDD
2009
ACM
171views Data Mining» more  PAKDD 2009»
15 years 11 months ago
Detecting Abnormal Events via Hierarchical Dirichlet Processes
Abstract. Detecting abnormal event from video sequences is an important problem in computer vision and pattern recognition and a large number of algorithms have been devised to tac...
Xian-Xing Zhang, Hua Liu, Yang Gao, Derek Hao Hu