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» Mixture model based contextual image retrieval
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SIGIR
2009
ACM
15 years 5 months ago
Predicting user interests from contextual information
Search and recommendation systems must include contextual information to effectively model users’ interests. In this paper, we present a systematic study of the effectiveness of...
Ryen W. White, Peter Bailey, Liwei Chen
CIKM
2009
Springer
15 years 5 months ago
Translating relevance scores to probabilities for contextual advertising
Information retrieval systems conventionally assess document relevance using the bag of words model. Consequently, relevance scores of documents retrieved for different queries a...
Deepak Agarwal, Evgeniy Gabrilovich, Robert Hall, ...
ICIP
2007
IEEE
16 years 28 days ago
Robust Image Segmentation with Mixtures of Student's t-Distributions
Gaussian mixture models have been widely used in image segmentation. However, such models are sensitive to outliers. In this paper, we consider a robust model for image segmentati...
Giorgos Sfikas, Christophoros Nikou, Nikolas P. Ga...
SIGIR
2002
ACM
14 years 11 months ago
Video retrieval using an MPEG-7 based inference network
This work proposes a model for video retrieval based upon the inference network model. The document network is constructed using video metadata encoded using MPEG-7 and captures i...
Andrew Graves, Mounia Lalmas
68
Voted
ISBI
2002
IEEE
15 years 4 months ago
Segmentation-free statistical image reconstruction for polyenergetic X-ray computed tomography
This paper describes a statistical iterative reconstruction method for X-ray CT based on a physical model that accounts for the polyenergetic X-ray source spectrum and the measure...
Idris A. Elbakri, Jeffrey A. Fessler