«nonlinear value data»
۸۴۱۲ نتیجهA General Proximity Analysis of Nonlinear Subdivision Schemes
In recent work nonlinear subdivision schemes which operate on manifold-valued data have been successfully analyzed with the aid of so-called proximity conditions bounding the difference between a linear scheme and the nonlinear one. The main difficulty with this method is the ver
Certified Reduced-basis Solutions of Viscous Burgers Equation Parametrized by Initial and Boundary Values
We present a reduced basis offline/online procedure for viscous Burgers initial boundary value problem, enabling efficient approximate computation of the solutions of this equation for parametrized viscosity and initial and boundary value data. This procedure comes with a fast-ev
Complex independent component analysis by nonlinear generalized Hebbian learning with Rayleigh nonlinearity
The aim of this paper is to present a non-linear extension of the Sanger’s Generalized Hebbian Algorithm to the processing of complex-valued data. A possible choice of the involved non-linearity is discussed recalling the Sudjianto-Hassoun interpretation of the nonlinear Hebbian
Median Filtering of Tensor-Valued Images
Novel matrix-valued imaging techniques such as diffusion tensor magnetic resonance imaging require the development of edgepreserving nonlinear filters. In this paper we introduce a median filter for such tensor-valued data. We show that it inherits a number of favourable properti
Operator-valued Kernels for Learning from Functional Response Data
In this paper we consider the problems of supervised classification and regression in the case where attributes and labels are functions: a data is represented by a set of functions, and the label is also a function. We focus on the use of reproducing kernel Hilbert space theory
Data Mining by Neural Network for Identifying Potentially Hazardous Bridges due to Strong Ground Motions
The present study initially selects twenty-one bridges with lengths over 500m in the Formosa freeway of Taiwan, and collects a series of recorded seismic data from checking stations near these bridges. Then, three seismic parameters including focal depth, epicenter distance, and
Ensemble-Based Data Assimilation for Atmospheric Chemical Transport Models
The task of providing an optimal analysis of the state of the atmosphere requires the development of dynamic data-driven systems (das) that efficiently integrate the observational data and the models. In this paper we discuss fundamental aspects of nonlinear ensemble data assimil
Holt’s exponential smoothing model for interval-valued time series
Interval-valued time series are interval-valued data that are collected in a chronological sequence through time. This paper adapts an approach to forecasting interval valued-time series based on Holt’s exponential smoothing method. In the adapted Holt’s method for interval-value
Bridging the Gap Between Numerical Linear Algebra , Theoretical Computer Science , and Data Applications
The Workshop on Algorithms for Modern Massive Data Sets (MMDS 2006), sponsored by the National Science Foundation, Yahoo! Research, and Ask.com, was held at Stanford University, June 21–24. The objectives were to explore novel techniques for modeling and analyzing massive, high-d
Data Envelopment Analysis using Fuzzy Concept
Mathematical programming is one of the areas to which fuq set theoq has been applied extensively. Primarily based on Bellman and Zadeh’s model of decision in fuzzy environments, models have been suggested which allow flexibility in constraints and nonlinear programming. Data enve