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» Selectivity Estimation using Probabilistic Models
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CSDA
2010
208views more  CSDA 2010»
14 years 9 months ago
Bayesian density estimation and model selection using nonparametric hierarchical mixtures
We consider mixtures of parametric densities on the positive reals with a normalized generalized gamma process (Brix, 1999) as mixing measure. This class of mixtures encompasses t...
Raffaele Argiento, Alessandra Guglielmi, Antonio P...
ACCV
2010
Springer
14 years 4 months ago
Continuous Surface-Point Distributions for 3D Object Pose Estimation and Recognition
We present a 3D, probabilistic object-surface model, along with mechanisms for probabilistically integrating unregistered 2.5D views into the model, and for segmenting model instan...
Renaud Detry, Justus H. Piater
69
Voted
GLVLSI
2007
IEEE
111views VLSI» more  GLVLSI 2007»
15 years 3 months ago
Probabilistic gate-level power estimation using a novel waveform set method
A probabilistic power estimation technique for combinational circuits is presented. A novel set of simple waveforms is the kernel of this technique. The transition density of each...
Saeeid Tahmasbi Oskuii, Per Gunnar Kjeldsberg, Ein...
TCAD
1998
127views more  TCAD 1998»
14 years 9 months ago
Gate-level power estimation using tagged probabilistic simulation
In this paper, we present a probabilistic simulation technique to estimate the power consumption of a cmos circuit under a general delay model. This technique is based on the noti...
Chih-Shun Ding, Chi-Ying Tsui, Massoud Pedram
CVPR
2008
IEEE
14 years 11 months ago
Probabilistic multi-tensor estimation using the Tensor Distribution Function
Diffusion weighted magnetic resonance (MR) imaging is a powerful tool that can be employed to study white matter microstructure by examining the 3D displacement profile of water m...
Alex D. Leow, Siwei Zhu, Katie McMahon, Greig I. d...