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» Active Learning Methods for Interactive Image Retrieval
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SIGIR
2011
ACM
14 years 4 months ago
Learning to rank from a noisy crowd
We study how to best use crowdsourced relevance judgments learning to rank [1, 7]. We integrate two lines of prior work: unreliable crowd-based binary annotation for binary classi...
Abhimanu Kumar, Matthew Lease
FM
2003
Springer
146views Formal Methods» more  FM 2003»
15 years 7 months ago
Interacting State Machines for Mobility
We present two instantiations of generic Interactive State Machines (ISMs) with mobility features which are useful for modeling and verifying dynamically changing mobile systems. I...
Thomas A. Kuhn, David von Oheimb
CORR
2011
Springer
150views Education» more  CORR 2011»
14 years 9 months ago
Total variation regularization for fMRI-based prediction of behaviour
—While medical imaging typically provides massive amounts of data, the extraction of relevant information for predictive diagnosis remains a difficult challenge. Functional MRI ...
Vincent Michel, Alexandre Gramfort, Gaël Varo...
MM
2010
ACM
198views Multimedia» more  MM 2010»
15 years 2 months ago
Analyzing and predicting sentiment of images on the social web
In this paper we study the connection between sentiment of images expressed in metadata and their visual content in the social photo sharing environment Flickr. To this end, we co...
Stefan Siersdorfer, Enrico Minack, Fan Deng, Jonat...

Book
640views
17 years 26 days ago
Introduction to Pattern Recognition
"Pattern recognition techniques are concerned with the theory and algorithms of putting abstract objects, e.g., measurements made on physical objects, into categories. Typical...
Sargur Srihari