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CVPR
2008
IEEE
14 years 9 months ago
Learning and using taxonomies for fast visual categorization
The computational complexity of current visual categorization algorithms scales linearly at best with the number of categories. The goal of classifying simultaneously Ncat = 104 -...
Gregory Griffin, Darya Perona
CVPR
2008
IEEE
14 years 9 months ago
Looking around the backyard helps to recognize faces and digits
Human beings have the ability to learn to recognize a new visual category based on only one or few training examples. Part of this ability might come from the use of knowledge fro...
Honghao Shan, Garrison W. Cottrell
MMM
2007
Springer
114views Multimedia» more  MMM 2007»
14 years 1 months ago
Mining Multiple Visual Appearances of Semantics for Image Annotation
This paper investigates the problem of learning the visual semantics of keyword categories for automatic image annotation. Supervised learning algorithms which learn only a single ...
Hung-Khoon Tan, Chong-Wah Ngo
AVI
2010
13 years 8 months ago
Implied dynamics in information visualization
Information visualization is a powerful method for understanding and working with data. However, we still have an incomplete understanding of how people use visualization to think...
Caroline Ziemkiewicz, Robert Kosara
ALT
2008
Springer
14 years 4 months ago
Visual Analytics: Combining Automated Discovery with Interactive Visualizations
In numerous application areas fast growing data sets develop with ever higher complexity and dynamics. A central challenge is to filter the substantial information and to communic...
Daniel A. Keim, Florian Mansmann, Daniela Oelke, H...