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TOG
2002
128views more  TOG 2002»
13 years 4 months ago
Modelling with implicit surfaces that interpolate
We introduce new techniques for modelling with interpolating implicit surfaces. This form of implicit surface was first used for problems of surface reconstruction [24] and shape ...
Greg Turk, James F. O'Brien
BMCBI
2008
173views more  BMCBI 2008»
13 years 4 months ago
Improved machine learning method for analysis of gas phase chemistry of peptides
Background: Accurate peptide identification is important to high-throughput proteomics analyses that use mass spectrometry. Search programs compare fragmentation spectra (MS/MS) o...
Allison Gehrke, Shaojun Sun, Lukasz A. Kurgan, Nat...
SIGGRAPH
1995
ACM
13 years 8 months ago
Automatic reconstruction of surfaces and scalar fields from 3D scans
We present an efficient and uniform approach for the automatic reconstruction of surfaces of CAD (computer aided design) models and scalar fields defined on them, from an unorg...
Chandrajit L. Bajaj, Fausto Bernardini, Guoliang X...
BMCBI
2008
105views more  BMCBI 2008»
13 years 4 months ago
Improving the prediction of mRNA extremities in the parasitic protozoan Leishmania
Background: Leishmania and other members of the Trypanosomatidae family diverged early on in eukaryotic evolution and consequently display unique cellular properties. Their appare...
Martin Smith, Mathieu Blanchette, Barbara Papadopo...
NIPS
2004
13 years 6 months ago
Maximising Sensitivity in a Spiking Network
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
Anthony J. Bell, Lucas C. Parra