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MLDM
2005
Springer
15 years 10 months ago
Unsupervised Learning of Visual Feature Hierarchies
We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method c...
Fabien Scalzo, Justus H. Piater
IV
2002
IEEE
88views Visualization» more  IV 2002»
15 years 9 months ago
Visualizing Spatially Varying Distribution Data
Box plot is a compact representation that encodes the minimum, maximum, mean, median, and quartile information of a distribution. In practice, a single box plot is drawn for each ...
David T. Kao, Alison Luo, Jennifer L. Dungan, Alex...
CVPR
2000
IEEE
16 years 6 months ago
Improving Visual Matching
Many visual matching algorithms can be described in terms of the features and the inter-feature distance or metric. The most commonly used metric is the sum of squared di erences ...
Michael S. Lew, Nicu Sebe, Thomas S. Huang
IJON
2007
74views more  IJON 2007»
15 years 4 months ago
Visual object concept discovery: Observations in congenitally blind children, and a computational approach
Over the course of the first few months of life, our brains accomplish a remarkable feat. They are able to interpret complex visual images so that instead of being just disconnec...
Jake V. Bouvrie, Pawan Sinha
ISI
2007
Springer
15 years 10 months ago
Terrorism and Crime Related Weblog Social Network: Link, Content Analysis and Information Visualization
—A Weblog is a Web site where entries are made in diary style, maintained by its sole author – a blogger, and displayed in a reverse chronological order. Due to the freedom and...
Christopher C. Yang, Tobun D. Ng