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» Possibilistic Clustering in Feature Space
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CVPR
2009
IEEE
15 years 3 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...
TIP
2008
261views more  TIP 2008»
13 years 7 months ago
CTex - An Adaptive Unsupervised Segmentation Algorithm Based on Color-Texture Coherence
Abstract--This paper presents the development of an unsupervised image segmentation framework (referred to as CTex) that is based on the adaptive inclusion of color and texture in ...
Dana Elena Ilea, Paul F. Whelan
TVCG
2012
210views Hardware» more  TVCG 2012»
11 years 10 months ago
Scalable Multivariate Volume Visualization and Analysis Based on Dimension Projection and Parallel Coordinates
—In this paper, we present an effective and scalable system for multivariate volume data visualization and analysis with a novel transfer function interface design that tightly c...
Hanqi Guo, He Xiao, Xiaoru Yuan
IJCNN
2006
IEEE
14 years 1 months ago
Tentacled Self-Organizing Map for Effective Data Extraction
— Since we can accumulate a huge amount of data including useless information in these years, it is important to investigate various extraction method of clusters from data inclu...
Haruna Matsushita, Yoshifumi Nishio
CVPR
2011
IEEE
13 years 3 months ago
Local Isomorphism to Solve the Pre-image Problem in Kernel Methods
Kernel methods have been popular over the last decade to solve many computer vision, statistics and machine learning problems. An important, both theoretically and practically, op...
Dong Huang, Yuandong Tian, Fernando DelaTorre