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NECO
2007
127views more  NECO 2007»
14 years 9 months ago
Visual Recognition and Inference Using Dynamic Overcomplete Sparse Learning
We present a hierarchical architecture and learning algorithm for visual recognition and other visual inference tasks such as imagination, reconstruction of occluded images, and e...
Joseph F. Murray, Kenneth Kreutz-Delgado
PAMI
2007
154views more  PAMI 2007»
14 years 9 months ago
Graph Embedding and Extensions: A General Framework for Dimensionality Reduction
—Over the past few decades, a large family of algorithms—supervised or unsupervised; stemming from statistics or geometry theory—has been designed to provide different soluti...
Shuicheng Yan, Dong Xu, Benyu Zhang, HongJiang Zha...
COMPSEC
2010
93views more  COMPSEC 2010»
14 years 8 months ago
A secure peer-to-peer backup service keeping great autonomy while under the supervision of a provider
Making backup is so cumbersome and expensive that individuals hardly ever backup their data and companies usually duplicate their data into a secondary server. This paper proposes...
Houssem Jarraya, Maryline Laurent
EDBT
2010
ACM
181views Database» more  EDBT 2010»
14 years 8 months ago
Private record matching using differential privacy
Private matching between datasets owned by distinct parties is a challenging problem with several applications. Private matching allows two parties to identify the records that ar...
Ali Inan, Murat Kantarcioglu, Gabriel Ghinita, Eli...
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FUIN
2008
108views more  FUIN 2008»
14 years 8 months ago
Learning Ground CP-Logic Theories by Leveraging Bayesian Network Learning Techniques
Causal relations are present in many application domains. Causal Probabilistic Logic (CP-logic) is a probabilistic modeling language that is especially designed to express such rel...
Wannes Meert, Jan Struyf, Hendrik Blockeel
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