Search results for "Cripto"

showing 10 items of 863 documents

Working with (too) Few Samples

2018

This paper is concerned with gene set differential expression analysis. We compare the transcriptomic behaviour of each gene set between different experimental conditions.The gene set is previously defined. It has been used a gene set collection downloaded from Gene Ontology.A randomization test is proposed and compared with other previous procedures using a RNA-seq experiment of colorectal cancer (CRC).

Set (abstract data type)TranscriptomeDifferential expression analysisColorectal cancerResamplingmedicineComputational biologyBiologymedicine.diseaseGene
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INVESTIGATION OF BIOTIC STRESS RESPONSES IN FRUIT TREE CROPS USING META-ANALYTICAL TECHNIQUES.

2020

In recent years, RNA sequencing and analysis using Next Generation Sequencing (NGS) methods have enabled to understand the gene expression pertaining to plant biotic and abiotic stress conditions in both quantitative and qualitative manner. The large number of transcriptomic works published in plants requires more meta-analysis studies that would identify common and specific features in relation of the high number of objective studies performed at different developmental and environmental conditions. Meta-analysis of transcriptomic data will identify commonalities and differences between differentially regulated gene lists and will allow screen which genes are key players in gene-gene and p…

Settore AGR/03 - Arboricoltura Generale E Coltivazioni ArboreeBiotic Stress Transcriptome Analysis Next Generation Sequencing Bioinformatics
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Valorizzazione della biodiversità frutticola in Sicilia: caratterizzazione qualitativa di vecchie varietà di melo.

2010

Settore AGR/03 - Arboricoltura Generale E Coltivazioni ArboreeMalus domestica germoplasma descriptor list analisi sensorialeSettore AGR/15 - Scienze E Tecnologie Alimentari
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Development of Sicilian bean core collection using morphological descriptors

2018

Different species and varieties of bean, spread in Sicily, are representative of local agricultural practices, as result of a careful exploration. Many landraces have become obsolete due to the spread of commercial varieties, but are still cultivated in small areas of Nebrodi Mountains (ME-Italy) and are endangered. The Sicilian bean landraces are often poorly known but represent a genetic heritage to be preserve and to enhance. The ex situ conservation of Sicilian bean landraces was carried out in “Living Plants Germplasm Bank” of Ucria (ME-Italy), founded by the Nebrodi Regional Park, and in “Sicilian Plant Germplasm Repository” of STEBICEF Department - University of Palermo. Within ex si…

Settore BIO/01 - Botanica GeneralePhaseolus Ex situ conservation Morphological descriptors
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A sub-population of mesoangioblasts displays features of resistance and proliferation confirmed by transcriptome analysis.

2014

Settore BIO/18 - Geneticatranscriptome analysimesoangioblastSettore BIO/06 - Anatomia Comparata E Citologia
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Omic-based strategies reveal novel links between primary metabolism and antibiotic production

2008

Settore BIO/19 - Microbiologia GeneraleProteome Transcriptome Actinomycetes
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A Transputer-Based System for Multi-Stroke Character Recognition

1992

A multi-stroke handwritten character recognition system is presented in this paper. A suitable set of Fourier Descriptors is used as features set to describe each stroke. A man-machine interactive algorithm was utilized to accomplish the learning phase and to recognize unknown samples. A PC based prototype was realized at first to test the system. In order to speed up the recognition process, the design and a first prototype of a Transputer-based system have been realized too. Some preliminary experimental results obtained applying these machines to handwritten numerals are reported in the paper.

Settore INF/01 - InformaticaTransputer Recognnition Fourier descriptor handwritten numerals.
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An on-line learning method for face association in personal photo collection

2012

Due to the widespread use of cameras, it is very common to collect thousands of personal photos. A proper organization is needed to make the collection usable and to enable an easy photo retrieval. In this paper, we present a method to organize personal photo collections based on ''who'' is in the picture. Our method consists in detecting the faces in the photo sequence and arranging them in groups corresponding to the probable identities. This problem can be conveniently modeled as a multi-target visual tracking where a set of on-line trained classifiers is used to represent the identity models. In contrast to other works where clustering methods are used, our method relies on a probabilis…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniInformation retrievalComputer sciencebusiness.industrySemi-supervised learningUSableDigital libraryMachine learningcomputer.software_genreSet (abstract data type)Face descriptor Data association On-line learning Semi-supervised learning Digital librariesFace (geometry)Signal ProcessingIdentity (object-oriented programming)Eye trackingComputer Vision and Pattern RecognitionArtificial intelligencebusinessCluster analysiscomputer
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An evaluation of recent local image descriptors for real-world applications of image matching

2019

This paper discusses and compares the best and most recent local descriptors, evaluating them on increasingly complex image matching tasks, encompassing planar and non-planar scenarios under severe viewpoint changes. This evaluation, aimed at assessing descriptor suitability for real-world applications, leverages the concept of approximated overlap error as a means to naturally extend to non-planar scenes the standard metric used for planar scenes. According to the evaluation results, most descriptors exhibit a gradual performance degradation in the transition from planar to non-planar scenes. The best descriptors are those capable of capturing well not only the local image context, but als…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSettore INF/01 - InformaticaImage matchingComputer sciencebusiness.industryVisual descriptorsComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPattern recognition02 engineering and technology03 medical and health sciences0302 clinical medicineLocal Image Descriptors; Image MatchingRobustness (computer science)Computer Science::Computer Vision and Pattern RecognitionComputer Science::Multimedia030221 ophthalmology & optometry0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingArtificial intelligencebusinessImage matching Data-driven approach Descriptors Evaluation results Local descriptors Local image descriptors Performance degradation Real-worldScene structure Computer vision
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Is There Anything New to Say About SIFT Matching?

2020

SIFT is a classical hand-crafted, histogram-based descriptor that has deeply influenced research on image matching for more than a decade. In this paper, a critical review of the aspects that affect SIFT matching performance is carried out, and novel descriptor design strategies are introduced and individually evaluated. These encompass quantization, binarization and hierarchical cascade filtering as means to reduce data storage and increase matching efficiency, with no significant loss of accuracy. An original contextual matching strategy based on a symmetrical variant of the usual nearest-neighbor ratio is discussed as well, that can increase the discriminative power of any descriptor. Th…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSettore INF/01 - Informaticabusiness.industryComputer scienceImage matchingComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONScale-invariant feature transformPattern recognition02 engineering and technologySIFT sGLOH2 Quantization Binary descriptors Symmetric matching Hierarchical cascade filtering Deep descriptors Keypoint patch orientation Approximated overlap errorDiscriminative modelArtificial IntelligenceHistogramComputer data storage0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionArtificial intelligenceSIFTsGLOH2quantizationbinary descriptorssymmetric matchinghierarchical cascade filteringdeep descriptorskeypoint patch orientationapproximated overlap errorbusinessQuantization (image processing)SoftwareInternational Journal of Computer Vision
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