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ICCV
2009
IEEE
16 years 7 months ago
Modelling Activity Global Temporal Dependencies using Time Delayed Probabilistic Graphical Model
We present a novel approach for detecting global behaviour anomalies in multiple disjoint cameras by learning time delayed dependencies between activities cross camera views. Sp...
Chen Change Loy, Tao Xiang and Shaogang Gong
97
Voted
NAACL
2007
15 years 3 months ago
Tree Revision Learning for Dependency Parsing
We present a revision learning model for improving the accuracy of a dependency parser. The revision stage corrects the output of the base parser by means of revision rules learne...
Giuseppe Attardi, Massimiliano Ciaramita
123
Voted
NAACL
2010
15 years 12 days ago
Unsupervised Syntactic Alignment with Inversion Transduction Grammars
Syntactic machine translation systems currently use word alignments to infer syntactic correspondences between the source and target languages. Instead, we propose an unsupervised...
Adam Pauls, Dan Klein, David Chiang, Kevin Knight
130
Voted
ICDAR
2007
IEEE
15 years 8 months ago
Energy-Based Models in Document Recognition and Computer Vision
The Machine Learning and Pattern Recognition communities are facing two challenges: solving the normalization problem, and solving the deep learning problem. The normalization pro...
Yann LeCun, Sumit Chopra, Marc'Aurelio Ranzato, Fu...
116
Voted
IJCNN
2006
IEEE
15 years 8 months ago
A Structured Context Model for Grammar Learning
—We present a structured model of context that supports an integrated approach to language acquisition and use. The model extends an existing formal notation, Embodied Constructi...
Nancy Chang, Eva Mok