Search results for "Identification"
showing 10 items of 1600 documents
Stability-Based Model Selection for High Throughput Genomic Data: An Algorithmic Paradigm
2012
Clustering is one of the most well known activities in scien- tific investigation and the object of research in many disciplines, ranging from Statistics to Computer Science. In this beautiful area, one of the most difficult challenges is the model selection problem, i.e., the identifi- cation of the correct number of clusters in a dataset. In the last decade, a few novel techniques for model selection, representing a sharp departure from previous ones in statistics, have been proposed and gained promi- nence for microarray data analysis. Among those, the stability-based methods are the most robust and best performing in terms of predic- tion, but the slowest in terms of time. Unfortunately…
Methods of Digital Hilbert Optics in the Analysis and Objects’ Recognition
2016
This paper describes methods on how to increase the effectiveness of objects’ pictures identification based on correlation methods. The main concept of increasing the discriminant effectiveness is based on highlighting of characteristic points of recognized objects by applying Hilbert transformations. Study of the effectiveness of Digital Hilber Optics (DHO) have been performed on a set of aircrafts, whose models rendered first as binary images, and then as grayscale. It has been performed a very detailed analysis of requirements on resources of information system’s which would in a real world support the discriminatory decision of objects’ class for which the sample database has been creat…
Pattern classification using a new border identification paradigm: The nearest border technique
2015
Abstract There are many paradigms for pattern classification such as the optimal Bayesian, kernel-based methods, inter-class border identification schemes, nearest neighbor methods, nearest centroid methods, among others. As opposed to these, this paper pioneers a new paradigm, which we shall refer to as the nearest border (NB) paradigm. The philosophy for developing such a NB strategy is as follows: given the training data set for each class, we shall attempt to create borders for each individual class. However, unlike the traditional border identification (BI) methods, we do not undertake this by using inter-class criteria; rather, we attempt to obtain the border for a specific class in t…
A new paradigm for pattern classification: Nearest Border Techniques
2013
Published version of a chapter in the book: AI 2013: Advances in Artificial Intelligence. Also available from the publisher at: http://dx.doi.org/10.1007/978-3-319-03680-9_44 There are many paradigms for pattern classification. As opposed to these, this paper introduces a paradigm that has not been reported in the literature earlier, which we shall refer to as the Nearest Border (NB) paradigm. The philosophy for developing such a NB strategy is as follows: Given the training data set for each class, we shall first attempt to create borders for each individual class. After that, we advocate that testing is accomplished by assigning the test sample to the class whose border it lies closest to…
Biens fongibles. Identification de médicaments vendus avec réserve de propriété. Concours de plusieurs demandes en revendication
2017
International audience; (Com. 28 juin 2016, n° 14-15.389, arrêt n° 629 F D, M. Dominique Guerin, ès qual., c/ Sté Interfimo et a.)
Biens fongibles. Identification de carburants vendus avec réserve de propriété. Concours de plusieurs demandes en revendication
2017
International audience; (Com. 29 nov. 2016, n° 15-12.350, arrêt n° 1045 FS-P+B+R+I, Sté Worex c/ Sté Transports Citra et a., D. 2016. 2462, obs. A. Lienhard ; AJ Contrat 2017. 90, obs. N. Kilgus ; Gaz. Pal. 10 janv. 2017, p. 75, note E. Le Corre-Broly)
Bayesian versus data driven model selection for microarray data
2014
Clustering is one of the most well known activities in scientific investigation and the object of research in many disciplines, ranging from Statistics to Computer Science. In this beautiful area, one of the most difficult challenges is a particular instance of the model selection problem, i.e., the identification of the correct number of clusters in a dataset. In what follows, for ease of reference, we refer to that instance still as model selection. It is an important part of any statistical analysis. The techniques used for solving it are mainly either Bayesian or data-driven, and are both based on internal knowledge. That is, they use information obtained by processing the input data. A…
Two new Antarctic species of Schizotricha (Cnidaria: Hydrozoa: Leptothecata) from US Antarctic expeditions
2004
Two species of the genus Schizotricha new to science (Schizotricha crassa sp. nov. and S. southgeorgiae sp. nov.) have been studied. Both species are described and figured and their systematic position amongst the remaining species of the genus is discussed. The material was collected during the United States Antarctic Research Programme (USARP) with RV 'Eltanin' and RV 'Islas Orcadas'. A comparative table listing the main features and distribution of the known species of Schizotricha, together with an identification key, are presented.
Revision of the genusAcryptolariaNorman, 1875 (Cnidaria, Hydrozoa, Lafoeidae)
2007
The genus Acryptolaria is reviewed, with a complete redescription of the type specimens, with the exception of A. andersoni and A. rectangularis for which type material could not be located. The genus includes 16 valid species, though A. andersoni is insufficiently known. All records found in the literature have been checked. The cnidome proved to be a useful tool for species identification. A key for the identification of the species of the genus is also presented.
A reappraisal of the Pleurotus eryngii complex – New species and taxonomic combinations based on the application of a polyphasic approach, and an ide…
2014
The Pleurotus eryngii species-complex comprises choice edible mushrooms growing on roots and lower stem residues of Apiaceae (umbellifers) plants. Material deriving from extensive sampling was studied by mating compatibility, morphological and ecological criteria, and through analysis of ITS1-5.8S-ITS2 and IGS1 rRNA sequences. Results revealed that P. eryngii sensu stricto forms a diverse and widely distributed aggregate composed of varieties elaeoselini, eryngii, ferulae, thapsiae, and tingitanus. Pleurotus eryngii subsp. tuoliensis comb. nov. is a phylogenetically sister group to the former growing only on various Ferula species in Asia. The existence of Pleurotus nebrodensis outside of S…