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ICPR
2008
IEEE
15 years 10 months ago
Visual features with semantic combination using Bayesian network for a more effective image retrieval
In many vision problems, instead of having fully annotated training data, it is easier to obtain just a subset of data with annotations, because it is less restrictive for the use...
Sabine Barrat, Salvatore Tabbone
92
Voted
CORR
2007
Springer
163views Education» more  CORR 2007»
14 years 9 months ago
Personalizing Image Search Results on Flickr
The social media site Flickr allows users to upload their photos, annotate them with tags, submit them to groups, and also to form social networks by adding other users as contact...
Kristina Lerman, Anon Plangprasopchok, Chio Wong
BMCBI
2005
100views more  BMCBI 2005»
14 years 9 months ago
Evolutionary models for insertions and deletions in a probabilistic modeling framework
Background: Probabilistic models for sequence comparison (such as hidden Markov models and pair hidden Markov models for proteins and mRNAs, or their context-free grammar counterp...
Elena Rivas
ICSE
2007
IEEE-ACM
15 years 3 months ago
Adaptive Probabilistic Model for Ranking Code-Based Static Analysis Alerts
Software engineers tend to repeat mistakes when developing software. Automated static analysis tools can detect some of these mistakes early in the software process. However, thes...
Sarah Smith Heckman
79
Voted
EMNLP
2009
14 years 7 months ago
Re-Ranking Models Based-on Small Training Data for Spoken Language Understanding
The design of practical language applications by means of statistical approaches requires annotated data, which is one of the most critical constraint. This is particularly true f...
Marco Dinarelli, Alessandro Moschitti, Giuseppe Ri...