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SIGIR
2010
ACM
15 years 10 months ago
Positional relevance model for pseudo-relevance feedback
Pseudo-relevance feedback is an effective technique for improving retrieval results. Traditional feedback algorithms use a whole feedback document as a unit to extract words for ...
Yuanhua Lv, ChengXiang Zhai
KDD
2010
ACM
252views Data Mining» more  KDD 2010»
15 years 10 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
AMR
2005
Springer
100views Multimedia» more  AMR 2005»
15 years 12 months ago
Using Segmented Objects in Ostensive Video Shot Retrieval
This paper presents a system for video shot retrieval in which shots are retrieved based on matching video objects using a combination of colour, shape and texture. Rather than mat...
Sorin Sav, Hyowon Lee, Alan F. Smeaton, Noel E. O'...
MM
2003
ACM
132views Multimedia» more  MM 2003»
15 years 11 months ago
On image auto-annotation with latent space models
Image auto-annotation, i.e., the association of words to whole images, has attracted considerable attention. In particular, unsupervised, probabilistic latent variable models of t...
Florent Monay, Daniel Gatica-Perez
FTML
2008
185views more  FTML 2008»
15 years 6 months ago
Graphical Models, Exponential Families, and Variational Inference
The formalism of probabilistic graphical models provides a unifying framework for capturing complex dependencies among random variables, and building large-scale multivariate stat...
Martin J. Wainwright, Michael I. Jordan