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NIPS
1997
14 years 11 months ago
Learning Generative Models with the Up-Propagation Algorithm
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
Jong-Hoon Oh, H. Sebastian Seung
96
Voted
CSFW
2009
IEEE
15 years 2 months ago
Cryptographic Protocol Synthesis and Verification for Multiparty Sessions
We present the design and implementation of a compiler that, given high-level multiparty session descriptions, generates custom cryptographic protocols. Our sessions specify pre-a...
Karthikeyan Bhargavan, Ricardo Corin, Pierre-Malo ...
93
Voted
MICCAI
2010
Springer
14 years 8 months ago
Brain Morphometry by Probabilistic Latent Semantic Analysis
The paper proposes a new shape morphometry approach to combine advanced classification techniques with geometric features in order to identify morphological abnormalities on brain...
Umberto Castellani, Alessandro Perina, Vittorio Mu...
WWW
2001
ACM
15 years 11 months ago
IEPAD: information extraction based on pattern discovery
The research in information extraction (IE) regards the generation of wrappers that can extract particular information from semistructured Web documents. Similar to compiler gener...
Chia-Hui Chang, Shao-Chen Lui
CORR
2010
Springer
141views Education» more  CORR 2010»
14 years 7 months ago
Modeling Dynamical Influence in Human Interaction Patterns
We present a new way for modeling 1) social influence and 2) the well-observed property of social influence
Wei Pan, Manuel Cebrián, Wen Dong, Taemie K...