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» Detecting Human Motion with Support Vector Machines
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VIS
2007
IEEE
162views Visualization» more  VIS 2007»
14 years 9 months ago
Segmentation of Three-dimensional Retinal Image Data
We have combined methods from volume visualization and data analysis to support better diagnosis and treatment of human retinal diseases. Many diseases can be identified by abnorma...
Alfred R. Fuller, Rober t J. Zawadzki, Stacey Ch...
CN
2007
133views more  CN 2007»
13 years 7 months ago
Automatic high-performance reconstruction and recovery
Self-protecting systems require the ability to instantaneously detect malicious activity at run-time and prevent execution. We argue that it is impossible to perfectly self-protec...
Ashvin Goel, Wu-chang Feng, Wu-chi Feng, David Mai...
BMCBI
2007
121views more  BMCBI 2007»
13 years 7 months ago
Predicting zinc binding at the proteome level
Background: Metalloproteins are proteins capable of binding one or more metal ions, which may be required for their biological function, for regulation of their activities or for ...
Andrea Passerini, Claudia Andreini, Sauro Menchett...
BMCBI
2006
120views more  BMCBI 2006»
13 years 7 months ago
Optimizing amino acid substitution matrices with a local alignment kernel
Background: Detecting remote homologies by direct comparison of protein sequences remains a challenging task. We had previously developed a similarity score between sequences, cal...
Hiroto Saigo, Jean-Philippe Vert, Tatsuya Akutsu
HUC
2009
Springer
14 years 7 days ago
Eye movement analysis for activity recognition
In this work we investigate eye movement analysis as a new modality for recognising human activity. We devise 90 different features based on the main eye movement characteristics:...
Andreas Bulling, Jamie A. Ward, Hans Gellersen, Ge...