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CDC
2008
IEEE
147views Control Systems» more  CDC 2008»
16 years 1 months ago
Clustering neural spike trains with transient responses
— The detection of transient responses, i.e. non– stationarities, that arise in a varying and small fraction of the total number of neural spike trains recorded from chronicall...
John D. Hunter, Jianhong Wu, John G. Milton
PDP
2002
IEEE
15 years 11 months ago
Scalable Monitoring and Configuration Tools for Grids and Clusters
We present the Ka-admin project that addresses the problem of collecting, visualizing and feeding back any grid information, trace or snapshot, compliant to an XML-like model. Rea...
Philippe Augerat, Cyrill Martin, Benhur Stein
ICRA
1999
IEEE
97views Robotics» more  ICRA 1999»
15 years 10 months ago
Clustering of Qualitative Contact States for a Transmission Assembly
Current manufacturing methods for robotic-controlled assembly rely on accurate positioning to ensure task completion, often through the use of special xtures and precise calibrati...
Marjorie Skubic, Benjamin Forrester, Brent Nowak
ICCV
2009
IEEE
15 years 4 months ago
The Normalized Subspace Inclusion: Robust clustering of motion subspaces
Perceiving dynamic scenes of rigid bodies, through affine projections of moving 3D point clouds, boils down to clustering the rigid motion subspaces supported by the points' ...
Nuno Pinho da Silva, João Paulo Costeira
ACISICIS
2007
IEEE
16 years 26 days ago
Minimum Message Length Clustering of Spatially-Correlated Data with Varying Inter-Class Penalties
We present here some applications of the Minimum Message Length (MML) principle to spatially correlated data. Discrete valued Markov Random Fields are used to model spatial correl...
Gerhard Visser, David L. Dowe