UNLABELED SELECTED SAMPLES IN FEATURE EXTRACTION FOR CLASSIFICATION OF HYPERSPECTRAL IMAGES WITH LIMITED TRAINING SAMPLES

UNLABELED SELECTED SAMPLES IN FEATURE EXTRACTION FOR CLASSIFICATION OF HYPERSPECTRAL IMAGES WITH LIMITED TRAINING SAMPLES

Feature HIMALAYAN SALT FINE extraction plays a key role in hyperspectral images classification.Using unlabeled samples, often unlimitedly available, unsupervised and semisupervised feature extraction methods show better performance when limited number of training samples exists.This paper illustrates the importance of selecting appropriate unlabele

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Exploring the Impact of Government Regulation on Technological Transitions; a Historical Perspective on Innovation in the Dutch Network-Based Industries

Government interventions can affect processes of technological transition through the enactment of legal and other policy instruments.In this contribution, we concentrated on legal interventions only and examined what they were, the relation between the public and private players that they affected, and the nature of the incentive they provided.We

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Fixed Points Features in N-Point Gravitational Lenses

A set of fixed points in N-point gravitational lenses is studied in the paper.We use complex form of lens mapping to study fixed points.There are some merits of using a complex form over coordinate.In coordinate form gravitational lens is described by a system of two equations and in complex form is described by one equation.We transform complex eq

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