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» Approximate algorithms for neural-Bayesian approaches
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CGF
2000
110views more  CGF 2000»
15 years 4 months ago
Directional Discretized Occluders for Accelerated Occlusion Culling
We present a technique for accelerating the rendering of high depth-complexity scenes. In a preprocessing stage, we approximate the input model with a hierarchical data structure ...
Fausto Bernardini, James T. Klosowski, Jihad El-Sa...
EGH
2009
Springer
15 years 2 months ago
Parallel view-dependent tessellation of Catmull-Clark subdivision surfaces
We present a strategy for performing view-adaptive, crack-free tessellation of Catmull-Clark subdivision surfaces entirely on programmable graphics hardware. Our scheme extends th...
Anjul Patney, Mohamed S. Ebeida, John D. Owens
CORR
2011
Springer
191views Education» more  CORR 2011»
14 years 11 months ago
A Message-Passing Receiver for BICM-OFDM over Unknown Clustered-Sparse Channels
We propose a factor-graph-based approach to joint channel-estimationand-decoding of bit-interleaved coded orthogonal frequency division multiplexing (BICM-OFDM). In contrast to ex...
Philip Schniter
JMLR
2011
148views more  JMLR 2011»
14 years 11 months ago
Bayesian Generalized Kernel Mixed Models
We propose a fully Bayesian methodology for generalized kernel mixed models (GKMMs), which are extensions of generalized linear mixed models in the feature space induced by a repr...
Zhihua Zhang, Guang Dai, Michael I. Jordan
SIAMSC
2011
153views more  SIAMSC 2011»
14 years 11 months ago
Stable Computations with Gaussian Radial Basis Functions
Abstract. Radial basis function (RBF) approximation is an extremely powerful tool for representing smooth functions in non-trivial geometries, since the method is meshfree and can ...
Bengt Fornberg, Elisabeth Larsson, Natasha Flyer