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» Using Clustering Methods for Discovering Event Structures
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146
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WWW
2008
ACM
16 years 4 months ago
Tag-based social interest discovery
The success and popularity of social network systems, such as del.icio.us, Facebook, MySpace, and YouTube, have generated many interesting and challenging problems to the research...
Xin Li, Lei Guo, Yihong Eric Zhao
ICDM
2006
IEEE
122views Data Mining» more  ICDM 2006»
15 years 9 months ago
Optimal Segmentation Using Tree Models
Sequence data are abundant in application areas such as computational biology, environmental sciences, and telecommunications. Many real-life sequences have a strong segmental str...
Robert Gwadera, Aristides Gionis, Heikki Mannila
120
Voted
ICIAR
2005
Springer
15 years 9 months ago
Estimating the Natural Number of Classes on Hierarchically Clustered Multi-spectral Images
Image classification is often used to extract information from multi-spectral satellite images. Unsupervised methods can produce results well adjusted to the data, but that are us...
André R. S. Marçal, Janete S. Borges
125
Voted
ICCV
2003
IEEE
16 years 5 months ago
Spectral Partitioning for Structure from Motion
We propose a spectral partitioning approach for large-scale optimization problems, specifically structure from motion. In structure from motion, partitioning methods reduce the pr...
Drew Steedly, Irfan A. Essa, Frank Dellaert
AAAI
2004
15 years 4 months ago
Distributed Representation of Syntactic Structure by Tensor Product Representation and Non-Linear Compression
Representing lexicons and sentences with the subsymbolic approach (using techniques such as Self Organizing Map (SOM) or Artificial Neural Network (ANN)) is a relatively new but i...
Heidi H. T. Yeung, Peter W. M. Tsang