Search results for " Computer Science"

showing 10 items of 3983 documents

An efficient upper bound of the rotation distance of binary trees

2000

A polynomial time algorithm is developed for computing an upper bound for the rotation distance of binary trees and equivalently for the diagonal-flip distance of convex polygons triangulations. Ordinal tools are used.

Binary treeRegular polygonComputer Science::Computational GeometryUpper and lower boundsComputer Science ApplicationsTheoretical Computer ScienceCombinatoricsTheoryofComputation_ANALYSISOFALGORITHMSANDPROBLEMCOMPLEXITYLattice (order)Signal ProcessingTime complexityComputingMethodologies_COMPUTERGRAPHICSInformation SystemsMathematicsInformation Processing Letters
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On the Locality of Standard Search Operators in Grammatical Evolution

2014

Offspring should be similar to their parents and inherit their relevant properties. This general design principle of search operators in evolutionary algorithms is either known as locality or geometry of search operators, respectively. It takes a geometric perspective on search operators and suggests that the distance between an offspring and its parents should be less than or equal to the distance between both parents. This paper examines the locality of standard search operators used in grammatical evolution (GE) and genetic programming (GP) for binary tree problems. Both standard GE and GP search operators suffer from low locality since a substantial number of search steps result in an o…

Binary treeTheoretical computer sciencebusiness.industryPerspective (graphical)LocalityEvolutionary algorithmGenetic programmingcomputer.software_genreRandom walkGrammatical evolutionArtificial intelligencebusinesscomputerNatural language processingMathematics
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The Myriad Virtues of Wavelet Trees

2009

Wavelet Trees have been introduced in [Grossi, Gupta and Vitter, SODA '03] and have been rapidly recognized as a very flexible tool for the design of compressed full-text indexes and data compressors. Although several papers have investigated the beauty and usefulness of this data structure in the full-text indexing scenario, its impact on data compression has not been fully explored. In this paper we provide a complete theoretical analysis of a wide class of compression algorithms based on Wavelet Trees. We also show how to improve their asymptotic performance by introducing a novel framework, called Generalized Wavelet Trees, that aims for the best combination of binary compressors (like,…

Binary treeWeight-balanced treeWavelet transformCascade algorithmData_CODINGANDINFORMATIONTHEORYHuffman codingData CompressionTheoretical Computer ScienceComputer Science ApplicationsSet partitioning in hierarchical treessymbols.namesakeWaveletComputational Theory and Mathematicssymbolsempirical entropyBurrows-Wheeler TransformAlgorithmData compressionMathematicsInformation SystemsWavelet Trees
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A bio-inspired approach to attack graphs analysis

2018

Computer security has recently become more and more important as the world economy dependency from data has kept growing. The complexity of the systems that need to be kept secure calls for new models capable of abstracting the interdependencies among heterogeneous components that cooperate at providing the desired service. A promising approach is attack graph analysis, however the manual analysis of attack graphs is tedious and error prone. In this paper we propose to apply the metabolic network model to attack graphs analysis, using three interacting bio-inspired algorithms: topological analysis, flux balance analysis, and extreme pathway analysis. A developed framework for graph building…

Bio-inspired techniqueTheoretical computer scienceComputer scienceNetwork securitybusiness.industrymedia_common.quotation_subjectComputer Science (all)Bio-inspired techniquesNetwork securityAttack graphPathway analysisFlux balance analysisTheoretical Computer ScienceInterdependenceAttack graphMetabolic network modelAttack graphs; Bio-inspired techniques; Network securityGraph (abstract data type)businessAttack graphsmedia_common
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Radiomics and Prostate MRI: Current Role and Future Applications

2021

Multiparametric prostate magnetic resonance imaging (mpMRI) is widely used as a triage test for men at a risk of prostate cancer. However, the traditional role of mpMRI was confined to prostate cancer staging. Radiomics is the quantitative extraction and analysis of minable data from medical images; it is emerging as a promising tool to detect and categorize prostate lesions. In this paper we review the role of radiomics applied to prostate mpMRI in detection and localization of prostate cancer, prediction of Gleason score and PI-RADS classification, prediction of extracapsular extension and of biochemical recurrence. We also provide a future perspective of artificial intelligence (machine …

Biochemical recurrencemedicine.medical_specialtyReviewlcsh:Computer applications to medicine. Medical informaticslcsh:QA75.5-76.95030218 nuclear medicine & medical imaging03 medical and health sciencesProstate cancer0302 clinical medicineRadiomicsProstatelocalmedicineRadiology Nuclear Medicine and imaginglcsh:PhotographyGleason scoreElectrical and Electronic EngineeringMultiparametric Magnetic Resonance ImagingFuture perspectivemedicine.diagnostic_testbusiness.industryMagnetic resonance imaginglcsh:TR1-1050prostate cancerartificial intelligencemultiparametric magnetic resonance imagingneoplasm recurrencemedicine.diseaseComputer Graphics and Computer-Aided Designprostate cancer; artificial intelligence; multiparametric magnetic resonance imaging; Gleason score; neoplasm recurrence; localmedicine.anatomical_structure030220 oncology & carcinogenesislcsh:R858-859.7lcsh:Electronic computers. Computer scienceComputer Vision and Pattern RecognitionRadiologyProstate cancer stagingbusiness
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Mapreduce in computational biology - A synopsis

2017

In the past 20 years, the Life Sciences have witnessed a paradigm shift in the way research is performed. Indeed, the computational part of biological and clinical studies has become central or is becoming so. Correspondingly, the amount of data that one needs to process, compare and analyze, has experienced an exponential growth. As a consequence, High Performance Computing (HPC, for short) is being used intensively, in particular in terms of multi-core architectures. However, recently and thanks to the advances in the processing of other scientific and commercial data, Distributed Computing is also being considered for Bioinformatics applications. In particular, the MapReduce paradigm, to…

BioinformaticSpark0301 basic medicineSettore INF/01 - InformaticaBioinformaticsProcess (engineering)Computer scienceComputer Science (all)Computational biologybioinformatics; distributed computing; hadoop; MapReduce; spark; computer science (all)Supercomputercomputer.software_genreDistributed computing03 medical and health sciences030104 developmental biologyExponential growthHadoopParadigm shiftMiddleware (distributed applications)Spark (mathematics)MapReducecomputer
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Protein-protein interaction network querying by a "focus and zoom" approach

2008

We propose an approach to network querying in protein-protein interaction networks based on bipartite graph weighted matching. An algorithm is presented that first “focuses” the potentially relevant portion of the target graph by performing a global alignment of this one with the query graph, and then “zooms” on the actual matching nodes by considering their topological arrangement, hereby obtaining a (possibly) approximated occurrence of the query graph within the target graph. Approximation is related to node insertions, node deletions and edge deletions possibly intervening in the query graph. The technique manages networks of arbitrary topology. Moreover, edge labels are used to represe…

Bioinformatics network analysisTheoretical computer scienceVoltage graphGraph (abstract data type)Folded cube graphAdjacency matrixNull graphBiconnected graphButterfly graphSimplex graphMathematicsofComputing_DISCRETEMATHEMATICSMathematics
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Textual data compression in computational biology: Algorithmic techniques

2012

Abstract In a recent review [R. Giancarlo, D. Scaturro, F. Utro, Textual data compression in computational biology: a synopsis, Bioinformatics 25 (2009) 1575–1586] the first systematic organization and presentation of the impact of textual data compression for the analysis of biological data has been given. Its main focus was on a systematic presentation of the key areas of bioinformatics and computational biology where compression has been used together with a technical presentation of how well-known notions from information theory have been adapted to successfully work on biological data. Rather surprisingly, the use of data compression is pervasive in computational biology. Starting from…

Biological dataData Compression Theory and Practice Alignment-free sequence comparison Entropy Huffman coding Hidden Markov Models Kolmogorov complexity Lempel–Ziv compressors Minimum Description Length principle Pattern discovery in bioinformatics Reverse engineering of biological networks Sequence alignmentSettore INF/01 - InformaticaGeneral Computer ScienceKolmogorov complexityComputer scienceSearch engine indexingComputational biologyInformation theoryInformation scienceTheoretical Computer ScienceTechnical PresentationEntropy (information theory)Data compressionComputer Science Review
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A multimodal retina-iris biometric system using the Levenshtein distance for spatial feature comparison

2020

Abstract The recent developments of information technologies, and the consequent need for access to distributed services and resources, require robust and reliable authentication systems. Biometric systems can guarantee high levels of security and multimodal techniques, which combine two or more biometric traits, warranting constraints that are more stringent during the access phases. This work proposes a novel multimodal biometric system based on iris and retina combination in the spatial domain. The proposed solution follows the alignment and recognition approach commonly adopted in computational linguistics and bioinformatics; in particular, features are extracted separately for iris and…

Biometric systemComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONspatial domain biometric featuresbiometric authentication system4603 Computer Vision and Multimedia Computation46 Information and Computing SciencesmedicineIris (anatomy)multimodal systemRetinabusiness.industrymultimodal retina-iris biometric systemLevenshtein distancePattern recognitionbiometric recognition systemQA75.5-76.95Levenshtein distanceretina and iris featuresmedicine.anatomical_structureFeature (computer vision)Electronic computers. Computer scienceSignal ProcessingComputer Vision and Pattern RecognitionArtificial intelligencebusinessSoftware
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A Robust Generic Method for Grid Detection in White Light Microscopy Malassez Blade Images in the Context of Cell Counting

2015

AbstractIn biology, cell counting is a primary measurement and it is usually performed manually using hemocytometers such as Malassez blades. This work is tedious and can be automated using image processing. An algorithm based on Fourier transform filtering and the Hough transform was developed for Malassez blade grid extraction. This facilitates cell segmentation and counting within the grid. For the present work, a set of 137 images with high variability was processed. Grids were accurately detected in 98% of these images.

Blade (geometry)Computer scienceMalassezImage processingContext (language use)Saccharomyces cerevisiaeHough transformlaw.inventionSet (abstract data type)symbols.namesakeOpticslawimage analysisMicroscopy[ INFO.INFO-TI ] Computer Science [cs]/Image ProcessingImage Processing Computer-AssistedComputer visionInstrumentationcell segmentationMicroscopybusiness.industrymorphological mathematicsGridFourier transformHough transform[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]symbolsFourier transformArtificial intelligencebusinessAlgorithms
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