Parametric synthesis of technological machine

Parametric Synthesis of Statistical

The traffic within the branches of a communication network is often a random variable with an approximate multivariate normal distribution. The analysis of such systems has been discussed in a previous paper. In this paper, we consider the optimum synthesis problem. Nonlinear and linear programming is used to guarantee that a given flow rate probability between a specified pair of terminals is ...

On the use of Machine Learning in Statistical Parametric Speech Synthesis

Statistical parametric speech synthesis has recently shown its ability to produce natural sounding speech while keeping a certain flexibility for voice transformation without requiring a huge amount of data. This abstract presents how machine learning techniques such as Hidden Markov Models in generation mode or context oriented clustering with decision trees are applied in speech synthesis. Fi...

Semi-parametric Image Synthesis

We present a semi-parametric approach to photographic image synthesis from semantic layouts. The approach combines the complementary strengths of parametric and nonparametric techniques. The nonparametric component is a memory bank of image segments constructed from a training set of images. Given a novel semantic layout at test time, the memory bank is used to retrieve photographic references ...

Parametric synthesis of human animation

Parametric Estimating in the Knowledge Age: Capitalizing on Technological Advances

This paper examines parametric estimating techniques applied to technology-driven projects in various industry sectors. Parametric estimating is the use of a subset of independent variables to predict the cost of a project. These independent variables may be specifications, features, functions, or some other high level descriptive elements that are used to define the scope of the deliverables a...