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ICCV
2009
IEEE
13 years 5 months ago
Efficient multi-label ranking for multi-class learning: Application to object recognition
Multi-label learning is useful in visual object recognition when several objects are present in an image. Conventional approaches implement multi-label learning as a set of binary...
Serhat Selcuk Bucak, Pavan Kumar Mallapragada, Ron...
CIKM
2010
Springer
13 years 5 months ago
Modeling reformulation using passage analysis
Query reformulation modifies the original query with the aim of better matching the vocabulary of the relevant documents, and consequently improving ranking effectiveness. Previou...
Xiaobing Xue, W. Bruce Croft, David A. Smith
3DOR
2010
13 years 2 months ago
A Robust 3D Interest Points Detector Based on Harris Operator
With the increasing amount of 3D data and the ability of capture devices to produce low-cost multimedia data, the capability to select relevant information has become an interesti...
Ivan Sipiran, Benjamin Bustos
CORR
2011
Springer
150views Education» more  CORR 2011»
13 years 2 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...
TITS
2011
150views more  TITS 2011»
13 years 2 months ago
Online Spatio-Temporal Risk Assessment for Intelligent Transportation Systems
—Due to modern pervasive wireless technologies and high-performance monitoring systems, spatio-temporal information plays an important role in areas such as intelligent transport...
Ondrej Linda, Milos Manic