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作者:Francesco Camastra , Antonino Staiano
来源:[J].Information Sciences(IF 3.643), 2016, Vol.328, pp.26-41
摘要:Abstract(#br)Dimensionality reduction methods are preprocessing techniques used for coping with high dimensionality. They have the aim of projecting the original data set of dimensionality N , without information loss, onto a lower M -dimensional submanifold. Since the value of M...
作者:Francesco Camastra , Angelo Ciaramella ...
来源:[J].Expert Systems With Applications(IF 1.854), 2015, Vol.42 (3), pp.1710-1716
摘要:Abstract(#br)Environmental risk assessment (ERA) of the deliberate release of genetically modified plants (GMPs) is currently performed by human experts on the basis of own personal experience and knowledge. In this paper we describe a fuzzy decision system (FDS) for the ERA of G...
作者:Francesco Camastra
来源:[J].Pattern Recognition(IF 2.632), 2003, Vol.36 (12), pp.2945-2954
摘要:Abstract(#br)In this paper, data dimensionality estimation methods are reviewed. The estimation of the dimensionality of a data set is a classical problem of pattern recognition. There are some good reviews (Algorithms for Clustering Data, Prentice-Hall, Englewood Cliffs, NJ, 198...
作者:Francesco Camastra , Alessandro Vinciarelli
来源:[J].Neurocomputing(IF 1.634), 2003, Vol.51, pp.147-159
摘要:Abstract(#br)This paper presents a cursive character recognizer, a crucial module in any Cursive Script Recognition system based on a segmentation and recognition approach.(#br)The character classification is achieved by combining the use of neural gas (NG) and learning vector qu...
作者:Francesco Camastra
来源:[J].Pattern Recognition(IF 2.632), 2007, Vol.40 (12), pp.3721-3727
摘要:Abstract(#br)This paper presents a cursive character recognizer, a crucial module in any cursive word recognition system based on a segmentation and recognition approach. The character classification is achieved by using support vector machines (SVMs) and a neural gas . The neura...
作者:Francesco Camastra , Alessandro Vinciarelli
来源:[J].Pattern Recognition Letters(IF 1.266), 2001, Vol.22 (6), pp.625-629
摘要:Abstract(#br)This paper presents a cursive character recognizer embedded in an off-line cursive script recognition system. The recognizer is composed of two modules: the first one is a feature extractor, the second one a learning vector quantizer. The selected feature set was com...
作者:Luigi Lamberti , Francesco Camastra
来源:[J].Expert Systems With Applications(IF 1.854), 2012, Vol.39 (12), pp.10489-10494
摘要:Abstract(#br)This paper presents Handy, a real-time hand gesture recognizer based on a three color glove. The recognizer is formed by three modules. The first module, fed by the frame acquired by a webcam, identifies the hand image in the scene. The second module, a feature extra...
作者:Francesco Camastra , Francesco Masulli
来源:[J].Pattern Recognition(IF 2.632), 2007, Vol.41 (1), pp.176-190
摘要:Abstract(#br)Clustering algorithms are a useful tool to explore data structures and have been employed in many disciplines. The focus of this paper is the partitioning clustering problem with a special interest in two recent approaches: kernel and spectral methods. The aim of thi...
作者:Francesco Camastra , Alessandro Vinciarelli
来源:[J].Neural Processing Letters(IF 1.24), 2001, Vol.14 (1), pp.27-34
摘要:Abstract(#br)In this paper the problem of estimating the intrinsic dimension of a data set is investigated. An approach based on the Grassberger–Procaccia's algorithm has been studied. Since this algorithm does not yield accurate measures in high-dimensional data sets, an em...
作者:Francesco Camastra , Angelo Ciaramella ...
来源:[J].Ecological Informatics(IF 1.961), 2014, Vol.24, pp.186-193
摘要:Abstract(#br)Environmental risk assessment (ERA) of the deliberate release of genetically modified plants is a very complex task, due to several environmental parameters to take into consideration to end up with a reliable decision. In the European Union, ERA is currently pe...

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