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SDM
2007
SIAM
121views Data Mining» more  SDM 2007»
15 years 7 months ago
Mining Visual and Textual Data for Constructing a Multi-Modal Thesaurus
We propose an unsupervised approach to learn associations between continuous-valued attributes from different modalities. These associations are used to construct a multi-modal t...
Hichem Frigui, Joshua Caudill
ANNPR
2006
Springer
15 years 9 months ago
Visual Classification of Images by Learning Geometric Appearances Through Boosting
We present a multiclass classification system for gray value images through boosting. The feature selection is done using the LPBoost algorithm which selects suitable features of a...
Martin Antenreiter, Christian Savu-Krohn, Peter Au...
NIPS
2008
15 years 7 months ago
MCBoost: Multiple Classifier Boosting for Perceptual Co-clustering of Images and Visual Features
We present a new co-clustering problem of images and visual features. The problem involves a set of non-object images in addition to a set of object images and features to be co-c...
Tae-Kyun Kim, Roberto Cipolla
159
Voted
ICRA
2007
IEEE
159views Robotics» more  ICRA 2007»
16 years 5 days ago
Visual Servoing from Spheres using a Spherical Projection Model
— In this paper, we investigate the use of a spherical projection model to search for optimal visual features for visual servoing. A new minimal set of three visual features is p...
Romeo Tatsambon Fomena, François Chaumette
CRV
2005
IEEE
201views Robotics» more  CRV 2005»
15 years 11 months ago
Minimum Bayes Error Features for Visual Recognition by Sequential Feature Selection and Extraction
The extraction of optimal features, in a classification sense, is still quite challenging in the context of large-scale classification problems (such as visual recognition), inv...
Gustavo Carneiro, Nuno Vasconcelos