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» Clustering the Feature Space
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CVPR
2003
IEEE
16 years 6 months ago
Active Unsupervised Texture Segmentation on a Diffusion Based Feature Space
In this paper, we propose a novel and efficient approach for active unsurpervised texture segmentation. First, we show how we can extract a small set of good features for texture ...
Mikaël Rousson, Rachid Deriche, Thomas Brox
WEBI
2007
Springer
15 years 10 months ago
Mapping Ontologies Elements using Features in a Latent Space
This paper proposes a method for the mapping of ontologies that, in a greater extent than other approaches, discovers and exploits sets of latent features for approximating the in...
Vassilis Spiliopoulos, George A. Vouros, Vangelis ...
ICWSM
2009
15 years 2 months ago
Delta TFIDF: An Improved Feature Space for Sentiment Analysis
Mining opinions and sentiment from social networking sites is a popular application for social media systems. Common approaches use a machine learning system with a bag of words f...
Justin Martineau, Tim Finin
ICIP
2009
IEEE
16 years 5 months ago
Optimum Kernel Function Design From Scale Space Features For Object Detection
Scale-space representation of an image is a significant way to generate features for classification. However, for a specific classification task, the entire scale-space may not be...
CVPR
2009
IEEE
16 years 11 months 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...