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» A Study of Semi-supervised Generative Ensembles
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KDD
2008
ACM
104views Data Mining» more  KDD 2008»
14 years 10 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 ...
IJCNN
2007
IEEE
14 years 3 months ago
Random Feature Subset Selection for Analysis of Data with Missing Features
Abstract - We discuss an ensemble-of-classifiers based algorithm for the missing feature problem. The proposed approach is inspired in part by the random subspace method, and in pa...
Joseph DePasquale, Robi Polikar
IJRR
2011
130views more  IJRR 2011»
13 years 1 months ago
LQG-MP: Optimized path planning for robots with motion uncertainty and imperfect state information
— This paper presents LQG-MP (linear-quadratic Gaussian motion planning), a new approach to robot motion planning that takes into account the sensors and the controller that will...
Jur van den Berg, Pieter Abbeel, Ken Goldberg
CBMS
2009
IEEE
14 years 4 months ago
On the storage, management and analysis of (multi) similarity for large scale protein structure datasets in the grid
Assessment of the (Multi) Similarity among a set of protein structures is achieved through an ensemble of protein structure comparison methods/algorithms. This leads to the genera...
Gianluigi Folino, Azhar Ali Shah, Natalio Krasnogo...
CORR
2010
Springer
186views Education» more  CORR 2010»
13 years 9 months ago
Channel Estimation for Opportunistic Spectrum Access: Uniform and Random Sensing
The knowledge of channel statistics can be very helpful in making sound opportunistic spectrum access decisions. It is therefore desirable to be able to efficiently and accurately...
Quanquan Liang, Mingyan Liu