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» Learning Rules from Distributed Data
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129
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IJCV
2000
164views more  IJCV 2000»
15 years 2 months ago
Probabilistic Modeling and Recognition of 3-D Objects
This paper introduces a uniform statistical framework for both 3-D and 2-D object recognition using intensity images as input data. The theoretical part provides a mathematical too...
Joachim Hornegger, Heinrich Niemann
149
Voted
WSDM
2010
ACM
261views Data Mining» more  WSDM 2010»
16 years 1 days ago
Learning Similarity Metrics for Event Identification in Social Media
Social media sites (e.g., Flickr, YouTube, and Facebook) are a popular distribution outlet for users looking to share their experiences and interests on the Web. These sites host ...
Hila Becker, Mor Naaman, Luis Gravano
110
Voted
ICDM
2008
IEEE
80views Data Mining» more  ICDM 2008»
15 years 9 months ago
Collective Latent Dirichlet Allocation
In this paper, we propose a new variant of Latent Dirichlet Allocation(LDA): Collective LDA (C-LDA), for multiple corpora modeling. C-LDA combines multiple corpora during learning...
Zhiyong Shen, Jun Sun, Yi-Dong Shen
115
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SDM
2008
SIAM
105views Data Mining» more  SDM 2008»
15 years 4 months ago
Gaussian Process Learning for Cyber-Attack Early Warning
Network security has been a serious concern for many years. For example, firewalls often record thousands of exploit attempts on a daily basis. Network administrators could benefi...
Jian Zhang 0004, Phillip A. Porras, Johannes Ullri...
154
Voted
CORR
2010
Springer
228views Education» more  CORR 2010»
15 years 1 months ago
Sparse Inverse Covariance Selection via Alternating Linearization Methods
Gaussian graphical models are of great interest in statistical learning. Because the conditional independencies between different nodes correspond to zero entries in the inverse c...
Katya Scheinberg, Shiqian Ma, Donald Goldfarb