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» Learning Models for Object Recognition
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ICCV
2009
IEEE
16 years 2 months ago
Unlabeled data improves word prediction
Labeling image collections is a tedious task, especially when multiple labels have to be chosen for each image. In this paper we introduce a new framework that extends state of ...
Nicolas Loeff, Ali Farhadi, Ian Endres and David A...
ICANN
2005
Springer
15 years 3 months ago
Image Segmentation by Complex-Valued Units
Spike synchronisation and de-synchronisation are important for feature binding and separation at various levels in the visual system. We present a model of complex valued neuron ac...
Cornelius Weber, Stefan Wermter
WSC
2008
15 years 5 days ago
Enhancing simulation as improvement and decision support system tool
Lecturing a Discrete Event Simulation course implies some challenges for the instructors. These challenges implies taking decisions from the design of the course to the selection ...
Heriberto Garcia, Eduardo Garcia
TCOS
2008
14 years 9 months ago
On Contemporary Denotational Mathematics for Computational Intelligence
Denotational mathematics is a category of expressive mathematical structures that deals with high-level mathematical entities beyond numbers and sets, such as abstract objects, com...
Yingxu Wang
ASUNAM
2011
IEEE
13 years 9 months ago
Co-author Relationship Prediction in Heterogeneous Bibliographic Networks
—The problem of predicting links or interactions between objects in a network, is an important task in network analysis. Along this line, link prediction between co-authors in a ...
Yizhou Sun, Rick Barber, Manish Gupta, Charu C. Ag...