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» Convergence Properties of the K-Means Algorithms
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JMLR
2010
105views more  JMLR 2010»
14 years 4 months ago
Collective Inference for Extraction MRFs Coupled with Symmetric Clique Potentials
Many structured information extraction tasks employ collective graphical models that capture interinstance associativity by coupling them with various clique potentials. We propos...
Rahul Gupta, Sunita Sarawagi, Ajit A. Diwan
IROS
2007
IEEE
254views Robotics» more  IROS 2007»
15 years 3 months ago
3D datasets segmentation based on local attribute variation
— We present a Graph-based method for low-level segmentation of unfiltered 3D data. The core of this approach is based on the construction of a local neighborhood structure and ...
Carla Silva Rocha Aguiar, Sébastien Druon, ...
MP
2002
176views more  MP 2002»
14 years 9 months ago
UOBYQA: unconstrained optimization by quadratic approximation
UOBYQA is a new algorithm for general unconstrained optimization calculations, that takes account of the curvature of the objective function, F say, by forming quadratic models by ...
M. J. D. Powell
INFOCOM
2007
IEEE
15 years 3 months ago
A Framework for Multi-Objective SLA Compliance Monitoring
Abstract— Service level agreements (SLAs) specify performance guarantees made by service providers, typically in terms of packet loss, delay, delay variation, and network availab...
Joel Sommers, Paul Barford, Nick G. Duffield, Amos...
BMCBI
2010
208views more  BMCBI 2010»
14 years 9 months ago
A multi-filter enhanced genetic ensemble system for gene selection and sample classification of microarray data
Background: Feature selection techniques are critical to the analysis of high dimensional datasets. This is especially true in gene selection from microarray data which are common...
Pengyi Yang, Bing Bing Zhou, Zili Zhang, Albert Y....