Search results for "Data structure"

showing 10 items of 441 documents

Recurrent deficit irrigation and fruit harvest affect tree water relations and fruitlet growth in ‘valencia’ orange

2019

Background – Partial rootzone drying is an irrigation strategy known for increasing water use efficiency without significantly affecting tree water status. ‘Valencia’ oranges have a very long development period and nearly mature fruit and new fruitlets may be present at the same time on the tree, competing for water and assimilates. Objectives – The present study investigates the effect of recurrent deficit irrigation and fruit harvest on tree water status and fruitlet growth of ‘Valencia’ orange. Methods – Forty-eight adult trees were exposed to three irrigation treatments for seven years (2007–2013): irrigation with 100% of ETc (CI), continuous deficit irrigation (DI, 50% of CI) and parti…

Citrus sinensis fruit gauges partial rootzone drying sap flow stem water potential vapor pressure deficitDeficit irrigationStem water potentialHorticultureBiologyAffect (psychology)Valencia orangefood.foodVapor pressure deficitSettore AGR/03 - Arboricoltura Generale E Coltivazioni ArboreePartial root-zone dryingTree (data structure)HorticulturefoodSap flowFruit gaugeCitrus sinensiEuropean Journal of Horticultural Science
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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…

Class (computer programming)Settore INF/01 - Informaticabusiness.industryComputer scienceHeuristic (computer science)Model selectionStability (learning theory)Machine learningcomputer.software_genreIdentification (information)Algorithm designArtificial intelligenceCluster analysisbusinessAlgorithms and Data StructuresThroughput (business)computer
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The expressive power of the shuffle product

2010

International audience; There is an increasing interest in the shuffle product on formal languages, mainly because it is a standard tool for modeling process algebras. It still remains a mysterious operation on regular languages.Antonio Restivo proposed as a challenge to characterize the smallest class of languages containing the singletons and closed under Boolean operations, product and shuffle. This problem is still widely open, but we present some partial results on it. We also study some other smaller classes, including the smallest class containing the languages composed of a single word of length 2 which is closed under Boolean operations and shuffle by a letter (resp. shuffle by a l…

Class (set theory)Computer science[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]0102 computer and information sciences02 engineering and technologyStar (graph theory)01 natural sciencesExpressive powerTheoretical Computer ScienceRegular languageFormal language0202 electrical engineering electronic engineering information engineeringArithmeticAlgebraic numberComputingMilieux_MISCELLANEOUSDiscrete mathematicsComputer Science Applicationsshuffle operatorComputational Theory and Mathematics010201 computation theory & mathematicsProduct (mathematics)Formal language020201 artificial intelligence & image processingBoolean operations in computer-aided designWord (computer architecture)Information Systems
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Making nonlinear manifold learning models interpretable: The manifold grand tour

2015

Smooth nonlinear topographic maps of the data distribution to guide a Grand Tour visualisation.Prioritisation of data linear views that are most consistent with data structure in the maps.Useful visualisations that cannot be obtained by other more classical approaches. Dimensionality reduction is required to produce visualisations of high dimensional data. In this framework, one of the most straightforward approaches to visualising high dimensional data is based on reducing complexity and applying linear projections while tumbling the projection axes in a defined sequence which generates a Grand Tour of the data. We propose using smooth nonlinear topographic maps of the data distribution to…

Clustering high-dimensional dataQA75Nonlinear dimensionality reductionDiscriminative clusteringComputer scienceVisualització de la informaciócomputer.software_genreData visualizationProjection (mathematics)Information visualizationArtificial IntelligenceQA:Informàtica::Infografia [Àrees temàtiques de la UPC]business.industryData visualizationDimensionality reductionGrand tourGeneral EngineeringNonlinear dimensionality reductionTopographic mapData structureComputer Science ApplicationsVisualizationManifold learningData miningbusinesscomputerGenerative topographic mappingLinear projections
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Languages with mismatches

2007

AbstractIn this paper we study some combinatorial properties of a class of languages that represent sets of words occurring in a text S up to some errors. More precisely, we consider sets of words that occur in a text S with k mismatches in any window of size r. The study of this class of languages mainly focuses both on a parameter, called repetition index, and on the set of the minimal forbidden words of the language of factors of S with errors. The repetition index of a string S is defined as the smallest integer such that all strings of this length occur at most in a unique position of the text S up to errors. We prove that there is a strong relation between the repetition index of S an…

Combinatorics on wordsApproximate string matchingGeneral Computer ScienceRepetition (rhetorical device)String (computer science)Search engine indexingComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)Approximate string matchingData structureTheoretical Computer ScienceCombinatoricsSet (abstract data type)Formal languagesCombinatorics on words Formal languages Approximate string matching IndexingIndexingWord (group theory)MathematicsInteger (computer science)Computer Science(all)Theoretical Computer Science
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On-line construction of two-dimensional suffix trees

1997

We present a new technique, which we refer to as implicit updates, based on which we obtain: (a) an algorithm for the on-line construction of the Lsuffix tree of an n x n matrix A — this data structure, described in [13], is the two-dimensional analog of the suffix tree of a string; (b) simple algorithms implementing primitive operations for LZ1-type on-dine lossless image compression methods. Those methods, recently introduced by Storer [35], are generalizations of LZl-type compression methods for strings (see also [24, 31]). For the problem in (a), we get nearly an order of magnitude improvement over algorithms that can be derived from known techniques [13]. For the problem in (b), we do …

CombinatoricsSuccinct data structureCompressed suffix arrayTree (data structure)Computer sciencelawSuffix treeString (computer science)Generalized suffix treeSuffixData compressionlaw.invention
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Linear-size suffix tries

2016

Suffix trees are highly regarded data structures for text indexing and string algorithms [MCreight 76, Weiner 73]. For any given string w of length n = | w | , a suffix tree for w takes O ( n ) nodes and links. It is often presented as a compacted version of a suffix trie for w, where the latter is the trie (or digital search tree) built on the suffixes of w. Here the compaction process replaces each maximal chain of unary nodes with a single arc. For this, the suffix tree requires that the labels of its arcs are substrings encoded as pointers to w (or equivalent information). On the contrary, the arcs of the suffix trie are labeled by single symbols but there can be Θ ( n 2 ) nodes and lin…

Compressed suffix arrayGeneral Computer ScienceSuffix tree[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]Generalized suffix tree0102 computer and information sciences02 engineering and technologyData_CODINGANDINFORMATIONTHEORYText indexing01 natural sciencesY-fast trielaw.inventionLongest common substring problemTheoretical Computer ScienceCombinatoricsSuffix treelawFactor and suffix automata0202 electrical engineering electronic engineering information engineeringData_FILESArithmeticFactor and suffix automata; Pattern matching; Suffix tree; Text indexing; Theoretical Computer Science; Computer Science (all)Pattern matchingMathematicsSettore INF/01 - InformaticaX-fast trieComputer Science (all)LCP array010201 computation theory & mathematics020201 artificial intelligence & image processingFM-index
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Table Compression

2016

Data Compression Techniques for massive tables are described. Related methodological results are also presented.

Compression and transmission of tableSettore INF/01 - InformaticaBig Data ManagementStorageCompressive estimates of entropyData Compression. Algorithms. Data structuresCompression of multidimensional data
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Fully Automatic Trunk Packing with Free Placements

2010

We present a new algorithm to compute the volume of a trunk according to the SAE J1100 standard. Our new algorithm uses state-of-the-art methods from computational geometry and from combinatorial optimization. It finds better solutions than previous approaches for small trunks.

Computational Geometry (cs.CG)FOS: Computer and information sciencesDiscrete Mathematics (cs.DM)ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSComputer Science - Data Structures and AlgorithmsComputer Science - Computational GeometryData Structures and Algorithms (cs.DS)Computer Science - Discrete Mathematics
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Continuous reformulations and heuristics for the Euclidean travelling salesperson problem

2008

We consider continuous reformulations of the Euclidean travelling salesperson problem (TSP), based on certain clustering problem formulations. These reformulations allow us to apply a generalisation with perturbations of the Weiszfeld algorithm in an attempt to find local approximate solutions to the Euclidean TSP.

Computational MathematicsMathematical optimizationControl and OptimizationControl and Systems EngineeringProblem FormulationsEuclidean geometryApplied mathematicsComputer Science::Data Structures and AlgorithmsHeuristicsCluster analysisMathematicsESAIM: Control, Optimisation and Calculus of Variations
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