«Unconstrain variables»

Direct Unconstrained Variable-Metric Localization of One-Electron Orbitals

The CPN−1 model with unconstrained variables

Unconstrained variables of non-commutative open strings

Unconstrained Hamiltonian Formulation of SU(2) Gluodynamics

One of the main issues in the Hamiltonian formulation of Yang-Mills theories is to find the projection from the phase space of canonical variables constrained by the non-Abelian Gauss law to the “smaller” phase space of unconstrained gauge invariant coordinates only. Dealing with

Title of dissertation : FACE RECOGNITION AND VERIFICATION IN UNCONSTRAINED ENVIRIONMENTS

Title of dissertation: FACE RECOGNITION AND VERIFICATION IN UNCONSTRAINED ENVIRIONMENTS Huimin Guo Doctor of Philosophy, 2012 Dissertation directed by: Professor Larry S. Davis Department of Computer Science Face recognition has been a long standing problem in computer vision. Ge

Applying linear spectral unmixing to airborne hyperspectral imagery for mapping yield variability in grain sorghum and cotton fields

This study examined linear spectral unmixing techniques for mapping the variation in crop yield for precision agriculture. Both unconstrained and constrained linear spectral unmixing models were applied to airborne hyperspectral imagery collected from a grain sorghum field and a

Variability Compensation Using NAP for Unconstrained Face Recognition

The variability presented in unconstrained environments represents one of the open challenges in automated face recognition systems. Several techniques have been proposed in the literature to cope with this problem, most of them tailored to compensate one specific source of varia

Complexity Reduction in the Use of Evolutionary Algorithms to Function Optimization: A Variable Reduction Strategy

Discovering and utilizing problem domain knowledge is a promising direction towards improving the efficiency of evolutionary algorithms (EAs) when solving optimization problems. We propose a knowledge-based variable reduction strategy (VRS) that can be integrated into EAs to solv

A comparison of two approaches for solving unconstrained influence diagrams

Influence diagrams and decision trees represent the two most common frameworks for specifying and solving decision problems. As modeling languages, both of these frameworks require that the decision analyst specifies all possible sequences of observations and decisions (in influe

Labeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments

Most face databases have been created under controlled conditions to facilitate the study of specific parameters on the face recognition problem. These parameters include such variables as position, pose, lighting, background, camera quality, and gender. While there are many appl