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» Typicality Ranking of Images Using the Aspect Model
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FUZZIEEE
2007
IEEE
13 years 11 months ago
A Feature Selection Method Based on Choquet Integral and Typicality Analysis
— An iterative feature selection method based on feature typicality and interactivity analysis is presented in this paper. The aim is to enhance model interpretability by selecti...
Cyril Mazaud, Jan Rendek, Vincent Bombardier, Laur...
ICCV
2005
IEEE
14 years 7 months ago
Modeling Scenes with Local Descriptors and Latent Aspects
We present a new approach to model visual scenes in image collections, based on local invariant features and probabilistic latent space models. Our formulation provides answers to...
Pedro Quelhas, Florent Monay, Jean-Marc Odobez, Da...
MVA
1994
224views Computer Vision» more  MVA 1994»
13 years 6 months ago
3D Object Model Fitting to Still Images Using Linear Combination Method of 2D Aspect Images
This paper describes a method for fitting 3D object model to still (single) 2D observed image by searching for the model's optimum posture parameters in the parameter space t...
Hiroyasu Sakamoto, Masahide Kawakami
CVPR
2008
IEEE
14 years 7 months ago
Multiple-instance ranking: Learning to rank images for image retrieval
We study the problem of learning to rank images for image retrieval. For a noisy set of images indexed or tagged by the same keyword, we learn a ranking model from some training e...
Yang Hu, Mingjing Li, Nenghai Yu
SCIA
2009
Springer
305views Image Analysis» more  SCIA 2009»
13 years 12 months ago
A Convex Approach to Low Rank Matrix Approximation with Missing Data
Many computer vision problems can be formulated as low rank bilinear minimization problems. One reason for the success of these problems is that they can be efficiently solved usin...
Carl Olsson, Magnus Oskarsson