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» Structural Topic Model for Latent Topical Structure Analysis
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CIKM
2008
Springer
13 years 11 months ago
Structure feature selection for graph classification
With the development of highly efficient graph data collection technology in many application fields, classification of graph data emerges as an important topic in the data mining...
Hongliang Fei, Jun Huan
ICDM
2006
IEEE
109views Data Mining» more  ICDM 2006»
14 years 3 months ago
Star-Structured High-Order Heterogeneous Data Co-clustering Based on Consistent Information Theory
Heterogeneous object co-clustering has become an important research topic in data mining. In early years of this research, people mainly worked on two types of heterogeneous data ...
Bin Gao, Tie-Yan Liu, Wei-Ying Ma
SIGCSE
1997
ACM
121views Education» more  SIGCSE 1997»
14 years 1 months ago
Application-based modules using apprentice learning for CS 2
A typical Data Structures (CS 2) course covers a wide variety of topics: elementary algorithm analysis; data structures including dynamic structures, trees, tables, graphs, etc.; ...
Owen L. Astrachan, Robert F. Smith, James T. Wilke...
SIGIR
2004
ACM
14 years 2 months ago
Locality preserving indexing for document representation
Document representation and indexing is a key problem for document analysis and processing, such as clustering, classification and retrieval. Conventionally, Latent Semantic Index...
Xiaofei He, Deng Cai, Haifeng Liu, Wei-Ying Ma
ICASSP
2011
IEEE
13 years 25 days ago
Adaptive harmonic time-frequency decomposition of audio using shift-invariant PLCA
This paper presents a new algorithm based on shift-invariant probabilistic latent component analysis that analyzes harmonic structures in an audio signal. Each note in a constant-...
Benoit Fuentes, Roland Badeau, Gaël Richard