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It is often difficult to obtain sufficient signature samples to train up a signature verification system. An elastic matching method to generate additional samples is proposed to expand the limited training set so that a better estimate of the statistical variations can he obtained. The method differs from existing ones in that it is more suitable for the(More)
This paper introduces a new class of Evolutionary Autonomous Agents (EA 2) that evolve in a digital image environment and emerge (or extract) salient image features. The behavioral repository for the proposed autonomous agents consists of self-reproduction, diiu-sion, mutation-based search, decay, and cease to exist, each of which is triggered and hence(More)
8 Fig. 10. The gure shows the reconstruction of one of the people in the database. 7. Conclusions In this paper we have described SpotIt!, a system for creating identikits and for browsing large image archives of mug-shots. The system overcomes the major drawbacks aaecting available computerized systems, providing unlimited number of feature variants and a(More)
The large number of spectral bands acquired by hyperspectral imaging sensors allows us to better distinguish many subtle objects and materials. Unlike other classical hyperspectral image classification methods in the multivariate analysis framework, in this paper, a novel method using functional data analysis (FDA) for accurate classification of(More)
The 352 MHz Westerbork In the Southern Hemisphere (WISH) survey is the southern extension of the WENSS, covering 1.60 sr between −9 • < δ < −26 • to a limiting flux density of ∼18 mJy (5σ). Due to the very low elevation of the observations, the survey has a much lower resolution in declination than in right ascension (54 ′′ × 54 ′′ cosecδ). A correlation(More)