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FTCGV
2011
122views more  FTCGV 2011»
14 years 4 months ago
Structured Learning and Prediction in Computer Vision
Powerful statistical models that can be learned efficiently from large amounts of data are currently revolutionizing computer vision. These models possess a rich internal structur...
Sebastian Nowozin, Christoph H. Lampert
123
Voted
CVIU
2008
209views more  CVIU 2008»
15 years 4 days ago
Combining visual dictionary, kernel-based similarity and learning strategy for image category retrieval
This paper presents a search engine architecture, RETIN, aiming at retrieving complex categories in large image databases. For indexing, a scheme based on a two-step quantization ...
Philippe Henri Gosselin, Matthieu Cord, Sylvie Phi...
123
Voted
SEMWEB
2009
Springer
15 years 7 months ago
TripleRank: Ranking Semantic Web Data by Tensor Decomposition
Abstract. The Semantic Web fosters novel applications targeting a more efficient and satisfying exploitation of the data available on the web, e.g. faceted browsing of linked open...
Thomas Franz, Antje Schultz, Sergej Sizov, Steffen...
CIVR
2010
Springer
215views Image Analysis» more  CIVR 2010»
15 years 4 months ago
Multi modal semantic indexing for image retrieval
Popular image retrieval schemes generally rely only on a single mode, (either low level visual features or embedded text) for searching in multimedia databases. Many popular image...
Chandrika Pulla, C. V. Jawahar
CHI
2003
ACM
16 years 28 days ago
Repairing usability problems identified by the cognitive walkthrough for the web
Methods for identifying usability problems in web page designs should ideally also provide practical methods for repairing the problems found. Blackmon et al. [2] proved the usefu...
Marilyn Hughes Blackmon, Muneo Kitajima, Peter G. ...