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» Parametric interpolation using sampled data
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CVPR
2010
IEEE
15 years 3 months ago
Learning 3D Action Models from a few 2D videos for View Invariant Action Recognition
Most existing approaches for learning action models work by extracting suitable low-level features and then training appropriate classifiers. Such approaches require large amount...
Pradeep Natarajan, Vivek Singh, Ram Nevatia
94
Voted
ICASSP
2009
IEEE
15 years 1 months ago
Dirichlet process mixture models with multiple modalities
The Dirichlet process can be used as a nonparametric prior for an infinite-dimensional probability mass function on the parameter space of a mixture model. The set of parameters o...
John William Paisley, Lawrence Carin
CGF
2005
149views more  CGF 2005»
14 years 9 months ago
Real-Time Ray-Casting and Advanced Shading of Discrete Isosurfaces
This paper presents a real-time rendering pipeline for implicit surfaces defined by a regular volumetric grid of samples. We use a ray-casting approach on current graphics hardwar...
Markus Hadwiger, Christian Sigg, Henning Scharsach...
81
Voted
ISBI
2002
IEEE
15 years 10 months ago
A new high-resolution processing method for the deconvolution of optical coherence tomography signals
We show the feasibility and the potential of a new signal processing algorithm for the high-resolution deconvolution of OCT signals. Our technique relies on the description of the...
Thierry Blu, Herbert Bay, Michael Unser
IJBRA
2007
89views more  IJBRA 2007»
14 years 9 months ago
Conservative adjustment of permutation p-values when the number of permutations is limited
The permutation procedure is widely used to assess the significance level (p-value) of a test statistic. This approach is asymptotically consistent. In genomics and proteomics st...
Yinglei Lai