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ECCV
2002
Springer
14 years 10 months ago
A Markov Chain Monte Carlo Approach to Stereovision
We propose Markov chain Monte Carlo sampling methods to address uncertainty estimation in disparity computation. We consider this problem at a postprocessing stage, i.e. once the d...
Julien Sénégas
KDD
2009
ACM
185views Data Mining» more  KDD 2009»
14 years 9 months ago
On compressing social networks
Motivated by structural properties of the Web graph that support efficient data structures for in memory adjacency queries, we study the extent to which a large network can be com...
Flavio Chierichetti, Ravi Kumar, Silvio Lattanzi, ...
TKDE
2010
224views more  TKDE 2010»
13 years 6 months ago
Probabilistic Topic Models for Learning Terminological Ontologies
—Probabilistic topic models were originally developed and utilised for document modeling and topic extraction in Information Retrieval. In this paper we describe a new approach f...
Wang Wei, Payam M. Barnaghi, Andrzej Bargiela
KDD
2012
ACM
188views Data Mining» more  KDD 2012»
11 years 11 months ago
A probabilistic model for multimodal hash function learning
In recent years, both hashing-based similarity search and multimodal similarity search have aroused much research interest in the data mining and other communities. While hashing-...
Yi Zhen, Dit-Yan Yeung
WWW
2006
ACM
14 years 9 months ago
WAP5: black-box performance debugging for wide-area systems
Wide-area distributed applications are challenging to debug, optimize, and maintain. We present Wide-Area Project 5 (WAP5), which aims to make these tasks easier by exposing the c...
Patrick Reynolds, Janet L. Wiener, Jeffrey C. Mogu...