Sciweavers

1293 search results - page 94 / 259
» Modelling Smooth Paths Using Gaussian Processes
Sort
View
134
Voted
ICASSP
2011
IEEE
14 years 5 months ago
Factored covariance modeling for text-independent speaker verification
Gaussian mixture models (GMMs) are commonly used to model the spectral distribution of speech signals for text-independent speaker verification. Mean vectors of the GMM, used in c...
Eryu Wang, Kong-Aik Lee, Bin Ma, Haizhou Li, Wu Gu...
NIPS
2001
15 years 3 months ago
Covariance Kernels from Bayesian Generative Models
We propose the framework of mutual information kernels for learning covariance kernels, as used in Support Vector machines and Gaussian process classifiers, from unlabeled task da...
Matthias Seeger
CGF
2004
86views more  CGF 2004»
15 years 1 months ago
Procedural Texture Matching and Transformation
We present a technique for creating a smoothly varying sequence of procedural textures that interpolates between arbitrary input samples of texture. This texture transformation us...
Eric Bourque, Gregory Dudek
PG
2002
IEEE
15 years 6 months ago
Approximation with Active B-Spline Curves and Surfaces
An active contour model for parametric curve and surface approximation is presented. The active curve or surface adapts to the model shape to be approximated in an optimization al...
Helmut Pottmann, Stefan Leopoldseder, Michael Hofe...
ECIS
2011
14 years 1 months ago
Path creation in the railroad industry: dimensions of design in it-enabled innovation
Taking a process research approach, we have followed a government agency in the railroad industry over a six-year-period as they have engaged in an IT-based innovation project. Pr...
Dick Stenmark