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» Online EM Algorithm for Latent Data Models
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SAC
2009
ACM
15 years 5 months ago
Applying latent dirichlet allocation to group discovery in large graphs
This paper introduces LDA-G, a scalable Bayesian approach to finding latent group structures in large real-world graph data. Existing Bayesian approaches for group discovery (suc...
Keith Henderson, Tina Eliassi-Rad
85
Voted
PKDD
2007
Springer
114views Data Mining» more  PKDD 2007»
15 years 4 months ago
Robust Visual Mining of Data with Error Information
Abstract. Recent results on robust density-based clustering have indicated that the uncertainty associated with the actual measurements can be exploited to locate objects that are ...
Jianyong Sun, Ata Kabán, Somak Raychaudhury
91
Voted
WSCG
2004
245views more  WSCG 2004»
14 years 11 months ago
Pel-Recursive Motion Estimation Using the Expectation-Maximization Technique and Spatial Adaptation
Pel-recursive motion estimation is a well-established approach. However, in the presence of noise, it becomes an ill-posed problem that requires regularization. In this paper, mot...
Vania V. Estrela, Luís A. Rivera, Marcos H....
91
Voted
AAAI
1998
14 years 11 months ago
Knowledge Lean Word-Sense Disambiguation
We present a corpus{based approach to word{sense disambiguation that only requires information that can be automatically extracted from untagged text. We use unsupervised techniqu...
Ted Pedersen, Rebecca F. Bruce
75
Voted
IPM
2006
132views more  IPM 2006»
14 years 10 months ago
A framework for understanding Latent Semantic Indexing (LSI) performance
In this paper we present a theoretical model for understanding the performance of Latent Semantic Indexing (LSI) search and retrieval applications. Many models for understanding L...
April Kontostathis, William M. Pottenger