Magnitude conversion problem using general orthogonal regression
نویسندگان
چکیده
منابع مشابه
Voice conversion using General Regression Neural Network
The objective of voice conversion system is to formulate the mapping function which can transform the source speaker characteristics to that of the target speaker. In this paper, we propose the General Regression Neural Network (GRNN) based model for voice conversion. It is a single pass learning network that makes the training procedure fast and comparatively less time consuming. The proposed ...
متن کاملLinear grouping using orthogonal regression
This paper proposes a new method, called linear grouping algorithm (LGA), to detect different linear structures in a data set. LGA is useful for investigating potential linear patterns in datasets, that is, subsets that follow different linear relationships. LGA combines ideas from principal components, clustering methods and resampling algorithms. It can detect several different linear relatio...
متن کاملKernel Density Construction Using Orthogonal Forward Regression
An automatic algorithm is derived for constructing kernel density estimates based on a regression approach that directly optimizes generalization capability. Computational efficiency of the density construction is ensured using an orthogonal forward regression, and the algorithm incrementally minimizes the leave-one-out test score. Local regularization is incorporated into the density construct...
متن کاملIterative selection using orthogonal regression techniques
High dimensional data are nowadays encountered in various branches of science. Variable selection techniques play a key role in analyzing high dimensional data. Generally two approaches for variable selection in the high dimensional data setting are considered — forward selection methods and penalization methods. In the former, variables are introduced in the model one at a time depending on th...
متن کاملOrthogonal Distance Regression
Orthogonal Distance Regresson (ODR) is the name given to the computational problem associated with finding the maximum likelihood estimators of parameters in measurement error models in the case of normally distributed errors. We examine the stable and efficient algorithm of Boggs, Byrd and Schnabel (SIAM J. Sci. Stat. Comput., 8 (1987), pp. 1052– 1078) for finding the solution of this problem ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Geophysical Journal International
سال: 2012
ISSN: 0956-540X
DOI: 10.1111/j.1365-246x.2012.05520.x