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» Structural Topic Model for Latent Topical Structure Analysis
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TNN
2010
147views Management» more  TNN 2010»
13 years 4 months ago
State-space analysis of Boolean networks
This paper provides a comprehensive framework for the state space approach to Boolean networks. First, it surveys the authors' recent work on the topic: Using semitensor produ...
Daizhan Cheng, Hongsheng Qi
ICML
2010
IEEE
13 years 11 months ago
Proximal Methods for Sparse Hierarchical Dictionary Learning
We propose to combine two approaches for modeling data admitting sparse representations: on the one hand, dictionary learning has proven effective for various signal processing ta...
Rodolphe Jenatton, Julien Mairal, Guillaume Obozin...
ICDM
2008
IEEE
230views Data Mining» more  ICDM 2008»
14 years 4 months ago
Evolutionary Clustering by Hierarchical Dirichlet Process with Hidden Markov State
This paper studies evolutionary clustering, which is a recently hot topic with many important applications, noticeably in social network analysis. In this paper, based on the rece...
Tianbing Xu, Zhongfei (Mark) Zhang, Philip S. Yu, ...
IEEEVAST
2010
13 years 5 months ago
Understanding text corpora with multiple facets
Text visualization becomes an increasingly more important research topic as the need to understand massive-scale textual information is proven to be imperative for many people and...
Lei Shi, Furu Wei, Shixia Liu, Li Tan, Xiaoxiao Li...
SCIA
2007
Springer
162views Image Analysis» more  SCIA 2007»
14 years 4 months ago
A Robust Approach for 3D Cars Reconstruction
Computing high quality 3D models from multi-view stereo reconstruction is an active topic as can be seen in a recent review [15]. Most approaches make the strong assumption that th...
Adrien Auclair, Laurent D. Cohen, Nicole Vincent