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PRL
2011
8 years 6 months ago
Object recognition using proportion-based prior information: Application to fisheries acoustics
: This paper addresses the inference of probabilistic classification models using weakly supervised learning. The main contribution of this work is the development of learning meth...
Riwal Lefort, Ronan Fablet, Jean-Marc Boucher
ICASSP
2010
IEEE
8 years 11 months ago
Weakly supervised learning with decision trees applied to fisheries acoustics
This paper addresses the training of classification trees for weakly labelled data. We call ”weakly labelled data”, a training set such as the prior labelling information pro...
Riwal Lefort, Ronan Fablet, Jean-Marc Boucher
ICPR
2002
IEEE
9 years 4 months ago
A Support System for Visually Impaired Persons to Understand Three-dimensional Visual Information Using Acoustic Interface
Visual information processing technology is very important in the implementation for sensory substitution of visually impaired persons as well as applications to factory automatio...
Yoshihiro Kawai, Fumiaki Tomita
ICIP
2007
IEEE
10 years 25 days ago
A Variational Approach to Exploit Prior Information in Object-Background Segregation: Application to Retinal Images
One of the main challenges in image segmentation is to adapt prior knowledge about the objects/regions that are likely to be present in an image, in order to obtain more precise d...
Luca Bertelli, Jiyun Byun, B. S. Manjunath
ICPR
2004
IEEE
10 years 7 days ago
Pose Clustering Guided by Short Interpretation Trees
It is common in object recognition algorithms based on viewpoint consistency to find object poses that align many of the object features with features extracted from a search imag...
Clark F. Olson
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