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CVPR
2009
IEEE
15 years 26 days ago
Learning Semantic Visual Vocabularies Using Diffusion Distance
In this paper, we propose a novel approach for learning generic visual vocabulary. We use diffusion maps to au-tomatically learn a semantic visual vocabulary from ab-undant quantiz...
Jingen Liu (University of Central Florida), Yang Y...
CVPR
2010
IEEE
14 years 2 months ago
Online Visual Vocabulary Pruning Using Pairwise Constraints
Given a pair of images represented using bag-of-visual words and a label corresponding to whether the images are “related”(must-link constraint) or “unrelated” (must not li...
Pavan Mallapragada, Rong Jin and Anil Jain
BMVC
2010
13 years 3 months ago
Embedding Visual Words into Concept Space for Action and Scene Recognition
In this paper we propose a novel approach to introducing semantic relations into the bag-of-words framework. We use the latent semantic models, such as LSA and pLSA, in order to d...
Behrouz Khadem, Elahe Farahzadeh, Deepu Rajan, And...
CVPR
2008
IEEE
13 years 7 months ago
Loose shape model for discriminative learning of object categories
We consider the problem of visual categorization with minimal supervision during training. We propose a partbased model that loosely captures structural information. We represent ...
Margarita Osadchy, Elran Morash
CVPR
2004
IEEE
13 years 9 months ago
Visual Object Categorization Using Distance-Based Discriminant Analysis
This paper formulates the problem of object categorization in the discriminant analysis framework focusing on transforming visual feature data so as to make it conform to the comp...
Serhiy Kosinov, Stéphane Marchand-Maillet, ...