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HPDC
1998
IEEE
15 years 11 months ago
High-Speed, Wide Area, Data Intensive Computing: A Ten Year Retrospective
Modern scientific computing involves organizing, moving, visualizing, and analyzing massive amounts of data from around the world, as well as employing largescale computation. The...
William E. Johnston
ESANN
2004
15 years 8 months ago
Neural methods for non-standard data
Standard pattern recognition provides effective and noise-tolerant tools for machine learning tasks; however, most approaches only deal with real vectors of a finite and fixed dime...
Barbara Hammer, Brijnesh J. Jain
BILDMED
2009
180views Algorithms» more  BILDMED 2009»
15 years 7 months ago
Automatic Needle Segmentation in 3D Ultrasound Data Using a Hough Transform Approach
Segmentation in ultrasound data is a very challenging field of research in medical image processing. This article presents a method for automatic segmentation of biopsy needles and...
Philipp Hartmann, Matthias Baumhauer, Jens Rasswei...
CGF
2002
142views more  CGF 2002»
15 years 6 months ago
Efficient Fitting and Rendering of Large Scattered Data Sets Using Subdivision Surfaces
We present a method to efficiently construct and render a smooth surface for approximation of large functional scattered data. Using a subdivision surface framework and techniques...
Vincent Scheib, Jörg Haber, Ming C. Lin, Hans...
SPEECH
1998
118views more  SPEECH 1998»
15 years 6 months ago
Dimensionality reduction of electropalatographic data using latent variable models
We consider the problem of obtaining a reduced dimension representation of electropalatographic (EPG) data. An unsupervised learning approach based on latent variable modelling is...
Miguel Á. Carreira-Perpiñán, ...