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» Graph Based Modeling of P2P Streaming Systems
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ICDAR
2007
IEEE
15 years 9 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...
KDD
2010
ACM
252views Data Mining» more  KDD 2010»
15 years 6 months ago
Fast query execution for retrieval models based on path-constrained random walks
Many recommendation and retrieval tasks can be represented as proximity queries on a labeled directed graph, with typed nodes representing documents, terms, and metadata, and labe...
Ni Lao, William W. Cohen
KDD
2004
ACM
137views Data Mining» more  KDD 2004»
15 years 8 months ago
Mining scale-free networks using geodesic clustering
Many real-world graphs have been shown to be scale-free— vertex degrees follow power law distributions, vertices tend to cluster, and the average length of all shortest paths is...
Andrew Y. Wu, Michael Garland, Jiawei Han
GBRPR
2005
Springer
15 years 8 months ago
Collaboration Between Statistical and Structural Approaches for Old Handwritten Characters Recognition
Abstract. In this article we try to make different kinds of information cooperate in a characters recognition system addressing old Greek and Egyptians documents. We first use a ...
Denis Arrivault, Noël Richard, Christine Fern...
113
Voted
EMNLP
2007
15 years 4 months ago
Lexical Semantic Relatedness with Random Graph Walks
Many systems for tasks such as question answering, multi-document summarization, and information retrieval need robust numerical measures of lexical relatedness. Standard thesauru...
Thad Hughes, Daniel Ramage