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» Using Unsupervised Learning for Network Alert Correlation
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ICML
2009
IEEE
14 years 9 months ago
Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
There has been much interest in unsupervised learning of hierarchical generative models such as deep belief networks. Scaling such models to full-sized, high-dimensional images re...
Honglak Lee, Roger Grosse, Rajesh Ranganath, Andre...
CSREASAM
2006
13 years 10 months ago
Gibraltar: A Mobile Host-Based Intrusion Protection System
Although mobile devices are globally omnipresent, security developments for these devices have not kept pace with their technological advancements. Thus, mobile devices are increa...
Grant A. Jacoby, Thadeus Hickman, Stuart Warders, ...
CIVR
2010
Springer
199views Image Analysis» more  CIVR 2010»
14 years 1 months ago
Unsupervised multi-feature tag relevance learning for social image retrieval
Interpreting the relevance of a user-contributed tag with respect to the visual content of an image is an emerging problem in social image retrieval. In the literature this proble...
Xirong Li, Cees G. M. Snoek, Marcel Worring
NIPS
2004
13 years 10 months ago
Modeling Nonlinear Dependencies in Natural Images using Mixture of Laplacian Distribution
Capturing dependencies in images in an unsupervised manner is important for many image processing applications. We propose a new method for capturing nonlinear dependencies in ima...
Hyun-Jin Park, Te-Won Lee

Publication
218views
12 years 1 months ago
Comparing Visual Feature Coding for Learning Disjoint Camera Dependencies
This paper systematically investigates the effectiveness of different visual feature coding schemes for facilitating the learning of time-delayed dependencies among disjoint multi-...
Xiatian Zhu, Shaogang Gong, and Chen Change Loy