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DAGSTUHL
2003
13 years 9 months ago
Feature tracking with skeleton graphs
One way to visualize large time-dependent data sets, is by visualization of the evolution of features in these data. The process consists of four steps: feature extraction, featur...
Benjamin Vrolijk, Freek Reinders, Frits H. Post
MM
2004
ACM
195views Multimedia» more  MM 2004»
14 years 1 months ago
Hierarchical clustering of WWW image search results using visual, textual and link information
We consider the problem of clustering Web image search results. Generally, the image search results returned by an image search engine contain multiple topics. Organizing the resu...
Deng Cai, Xiaofei He, Zhiwei Li, Wei-Ying Ma, Ji-R...
CSMR
2000
IEEE
14 years 23 days ago
Analyzing Java Software by Combining Metrics and Program Visualization
Shimba, a prototype reverse engineering environment, has been built to support the understanding of Java software. Shimba uses Rigi and SCED to analyze, visualize, and explore the...
Tarja Systä, Ping Yu, Hausi A. Müller
BMCBI
2008
83views more  BMCBI 2008»
13 years 8 months ago
Models of deletion for visualizing bacterial variation: an application to tuberculosis spoligotypes
Background: Molecular typing methods are commonly used to study genetic relationships among bacterial isolates. Many of these methods have become standardized and produce portable...
Josephine F. Reyes, Andrew R. Francis, Mark M. Tan...
CVPR
2010
IEEE
14 years 4 months ago
Object-Graphs for Context-Aware Category Discovery
How can knowing about some categories help us to discover new ones in unlabeled images? Unsupervised visual category discovery is useful to mine for recurring objects without huma...
Yong Jae Lee, Kristen Grauman