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» The Predictability of Data Values
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ICRA
2010
IEEE
301views Robotics» more  ICRA 2010»
15 years 5 months ago
People tracking with human motion predictions from social forces
Abstract— For many tasks in populated environments, robots need to keep track of present and future motion states of people. Most approaches to people tracking make weak assumpti...
Matthias Luber, Johannes Andreas Stork, Gian Diego...
ICASSP
2011
IEEE
14 years 10 months ago
Online Kernel SVM for real-time fMRI brain state prediction
The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...
Yongxin Taylor Xi, Hao Xu, Ray Lee, Peter J. Ramad...
BMCBI
2011
14 years 10 months ago
GPCR-SSFE: A comprehensive database of G-protein-coupled receptor template predictions and homology models
Background: G protein-coupled receptors (GPCRs) transduce a wide variety of extracellular signals to within the cell and therefore have a key role in regulating cell activity and ...
Catherine L. Worth, Annika Kreuchwig, Gunnar Klein...
MCFNS
2010
168views more  MCFNS 2010»
15 years 1 months ago
Evaluating TIFFS (Toolbox for LiDAR Data Filtering and Forest Studies) in Deriving Forest Measurements from LiDAR Data
Recent advances in LiDAR (Light Detection and Ranging) technology have allowed for the remote sensing of important forest characteristics to be more reliable and commercially avail...
John Chapman, I.-Kuai Hung, Jeff Tippen
ADC
2006
Springer
120views Database» more  ADC 2006»
16 years 22 days ago
Approximate data mining in very large relational data
In this paper we discuss eNERF, an extended version of non-Euclidean relational fuzzy c-means (NERFCM) for approximate clustering in very large (unloadable) relational data. The e...
James C. Bezdek, Richard J. Hathaway, Christopher ...