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» Unsupervised Feature Selection Using Feature Similarity
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MIR
2010
ACM
206views Multimedia» more  MIR 2010»
15 years 5 months ago
An investigation into the relationship between semantic and content based similarity using LIDC
There is considerable research in the field of content-based medical image retrieval; however, few of the current systems investigate the relationship between the radiologists’...
Robert Kim, Grace Dasovich, Runa Bhaumik, Richard ...
GECCO
2007
Springer
163views Optimization» more  GECCO 2007»
15 years 6 months ago
Exploring medical data using visual spaces with genetic programming and implicit functional mappings
Two medical data sets (Breast cancer and Colon cancer) are investigated within a visual data mining paradigm through the unsupervised construction of virtual reality spaces using ...
Julio J. Valdés, Robert Orchard, Alan J. Ba...
CVPR
2009
IEEE
16 years 6 months ago
Learning Signs from Subtitles: A Weakly Supervised Approach to Sign Language Recognition
This paper introduces a fully-automated, unsupervised method to recognise sign from subtitles. It does this by using data mining to align correspondences in sections of videos. Bas...
Helen Cooper, Richard Bowden
SMA
1999
ACM
106views Solid Modeling» more  SMA 1999»
15 years 4 months ago
Resolving non-uniqueness in design feature histories
Nearly all major commercial computer-aided design systems have adopted a feature-based design approach to solid modeling. Models are created via a sequence of operations which app...
Vincent A. Cicirello, William C. Regli
131
Voted
AVI
2006
15 years 1 months ago
Line graph explorer: scalable display of line graphs using Focus+Context
Scientific measurements are often depicted as line graphs. Stateof-the-art high throughput systems in life sciences, telemetry and electronics measurement rapidly generate hundred...
Robert Kincaid, Heidi Lam