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» Robustness of Classifiers to Changing Environments
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SIGGRAPH
2010
ACM
14 years 10 days ago
Optimal feedback control for character animation using an abstract model
Feedback Control for Character Animation Using an Abstract Model Yuting Ye C. Karen Liu Georgia Institute of Technology∗ Real-time adaptation of a motion capture sequence to vir...
Yuting Ye, C. Karen Liu
BMCBI
2006
123views more  BMCBI 2006»
13 years 8 months ago
Characterizing disease states from topological properties of transcriptional regulatory networks
Background: High throughput gene expression experiments yield large amounts of data that can augment our understanding of disease processes, in addition to classifying samples. He...
David Tuck, Harriet Kluger, Yuval Kluger
AVI
2006
13 years 9 months ago
Preserving the mental map in interactive graph interfaces
Graphs provide good representations for many domains. Interactive graph-based interfaces are desireable to browse and edit data for these domains. However, as graphs increase in s...
Manuel Freire, Pilar Rodríguez
BMCBI
2010
164views more  BMCBI 2010»
13 years 5 months ago
Merged consensus clustering to assess and improve class discovery with microarray data
Background: One of the most commonly performed tasks when analysing high throughput gene expression data is to use clustering methods to classify the data into groups. There are a...
T. Ian Simpson, J. Douglas Armstrong, Andrew P. Ja...
CCR
2010
156views more  CCR 2010»
13 years 8 months ago
Evolvable network architectures: what can we learn from biology?
There is significant research interest recently to understand the evolution of the current Internet, as well as to design clean-slate Future Internet architectures. Clearly, even ...
Constantine Dovrolis, J. Todd Streelman