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CVPR
2010
IEEE
15 years 5 months ago
Efficient Piecewise Learning for Conditional Random Fields
Conditional Random Field models have proved effective for several low-level computer vision problems. Inference in these models involves solving a combinatorial optimization probl...
Karteek Alahari, Phil Torr
WEBI
2009
Springer
15 years 4 months ago
From "Dango" to "Japanese Cakes": Query Reformulation Models and Patterns
Understanding query reformulation patterns is a key step towards next generation web search engines: it can help improving users’ web-search experience by predicting their inten...
Paolo Boldi, Francesco Bonchi, Carlos Castillo, Se...
ICDM
2008
IEEE
92views Data Mining» more  ICDM 2008»
15 years 4 months ago
A Shrinkage Approach for Modeling Non-stationary Relational Autocorrelation
Recent research has shown that collective classification in relational data often exhibit significant performance gains over conventional approaches that classify instances indi...
Pelin Angin, Jennifer Neville
ICDM
2008
IEEE
136views Data Mining» more  ICDM 2008»
15 years 4 months ago
Document-Word Co-regularization for Semi-supervised Sentiment Analysis
The goal of sentiment prediction is to automatically identify whether a given piece of text expresses positive or negative opinion towards a topic of interest. One can pose sentim...
Vikas Sindhwani, Prem Melville
LICS
2008
IEEE
15 years 4 months ago
A Neutral Approach to Proof and Refutation in MALL
We propose a setting in which the search for a proof of B or a refutation of B (a proof of ¬B) can be carried out simultaneously: this is in contrast to the usual approach in aut...
Olivier Delande, Dale Miller