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» A Method for Dynamic Clustering of Data
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BMCBI
2005
89views more  BMCBI 2005»
15 years 6 months ago
Theme discovery from gene lists for identification and viewing of multiple functional groups
Background: High throughput methods of the genome era produce vast amounts of data in the form of gene lists. These lists are large and difficult to interpret without advanced com...
Petri Pehkonen, Garry Wong, Petri Töröne...
FIMH
2009
Springer
16 years 1 months ago
Cardiac Fibre Trace Clustering for the Interpretation of the Human Heart Architecture
Cardiac fibre architecture plays a key role in heart function. Recently, the estimation of fibre structure has been simplified with diffusion tensor MRI (DT-MRI). In order to as...
Carole Frindel, Marc C. Robini, Joël Schaerer...
IEEEPACT
1998
IEEE
15 years 11 months ago
Static Methods in Hybrid Branch Prediction
Hybrid branch predictors combine the predictions of multiple single-level or two-level branch predictors. The prediction-combining hardware -- the "meta-predictor" -may ...
Dirk Grunwald, Donald C. Lindsay, Benjamin G. Zorn
IROS
2007
IEEE
135views Robotics» more  IROS 2007»
16 years 1 months ago
Dynamic identification of a mitsubishi pa10-6ce robot using motion capture
—This paper discusses a method to identify dynamic parameters in a rigid-link flexible-joint robot model using motion capture. The procedure is divided into two parts. First, the...
Chris Lightcap, Scott A. Banks
KDD
2008
ACM
104views Data Mining» more  KDD 2008»
16 years 7 months ago
Learning methods for lung tumor markerless gating in image-guided radiotherapy
In an idealized gated radiotherapy treatment, radiation is delivered only when the tumor is at the right position. For gated lung cancer radiotherapy, it is difficult to generate ...
Ying Cui, Jennifer G. Dy, Gregory C. Sharp, Brian ...