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» Learning with Local and Global Consistency
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ICCV
2009
IEEE
16 years 9 months ago
Image Saliency by Isocentric Curvedness and Color
In this paper we propose a novel computational method to infer visual saliency in images. The method is based on the idea that salient objects should have local characteristics tha...
Roberto Valenti
ICANN
2009
Springer
16 years 21 days ago
Using Kernel Basis with Relevance Vector Machine for Feature Selection
This paper presents an application of multiple kernels like Kernel Basis to the Relevance Vector Machine algorithm. The framework of kernel machines has been a source of many works...
Frederic Suard, David Mercier
ICRA
2006
IEEE
185views Robotics» more  ICRA 2006»
16 years 5 days ago
A Cognitive Modeling of Space using Fingerprints of Places for Mobile Robot Navigation
- In this work we address the problem of perception, spatial cognition and topological navigation for a mobile robot. The objective of this work is to enable the navigation of an a...
Adriana Tapus, Roland Siegwart
WACV
2005
IEEE
15 years 11 months ago
A Model-Based Interactive Object Segmentation Procedure
A global parametric shape model (boundary) of the object is optimized according to evidence accumulated from local features and the prior probability of the model parameters learn...
Jie Zou
ECCV
2010
Springer
15 years 11 months ago
Automatic Attribute Discovery and Characterization
It is common to use domain specific terminology – attributes – to describe the visual appearance of objects. In order to scale the use of these describable visual attributes t...