Sciweavers

405 search results - page 24 / 81
» Shape Transformation Using Variational Implicit Functions
Sort
View
ICANN
2011
Springer
12 years 11 months ago
Transforming Auto-Encoders
The artificial neural networks that are used to recognize shapes typically use one or more layers of learned feature detectors that produce scalar outputs. By contrast, the comput...
Geoffrey E. Hinton, Alex Krizhevsky, Sida D. Wang
IMR
2003
Springer
14 years 26 days ago
A Local Cell Quality Metric and Variational Grid Smoothing Algorithm
A local cell quality metric is introduced and used to construct a variational functional for a grid smoothing algorithm. A maximum principle is proved and the properties of the loc...
Larisa Branets, Graham F. Carey
ICML
2007
IEEE
14 years 8 months ago
Linear and nonlinear generative probabilistic class models for shape contours
We introduce a robust probabilistic approach to modeling shape contours based on a lowdimensional, nonlinear latent variable model. In contrast to existing techniques that use obj...
Graham McNeill, Sethu Vijayakumar
ICMCS
2010
IEEE
191views Multimedia» more  ICMCS 2010»
13 years 8 months ago
An efficient depth map estimation technique using complex wavelets
A new focus measure system is proposed based on complex wavelet transform and quadrature pair of steerable filters. In shape from focus (SFF), noise, illumination variation and or...
Pankajkumar Mendapara, Aryaz Baradarani, Q. M. Jon...
FCCM
2006
IEEE
138views VLSI» more  FCCM 2006»
13 years 11 months ago
Efficient Hardware Generation of Random Variates with Arbitrary Distributions
This paper presents a technique for efficiently generating random numbers from a given probability distribution. This is achieved by using a generic hardware architecture, which t...
David B. Thomas, Wayne Luk