Search results for "Abstract"

showing 10 items of 1959 documents

The DrosDel Deletion Collection: A Drosophila Genomewide Chromosomal Deficiency Resource

2007

AbstractWe describe a second-generation deficiency kit for Drosophila melanogaster composed of molecularly mapped deletions on an isogenic background, covering ∼77% of the Release 5.1 genome. Using a previously reported collection of FRT-bearing P-element insertions, we have generated 655 new deletions and verified a set of 209 deletion-bearing fly stocks. In addition to deletions, we demonstrate how the P elements may also be used to generate a set of custom inversions and duplications, particularly useful for balancing difficult regions of the genome carrying haplo-insufficient loci. We describe a simple computational resource that facilitates selection of appropriate elements for generat…

Chromosome AberrationsGeneticsGenomebiologyMolecular Sequence DataInvestigationsbiology.organism_classificationComputational resourceGenomeSet (abstract data type)Drosophila melanogasterDNA Transposable ElementsDNA Transposable ElementsGeneticsAnimalsDrosophila melanogasterDrosophilaSelection (genetic algorithm)Sequence DeletionGenetics
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DenseYOLO: Yet Faster, Lighter and More Accurate YOLO

2020

As much as an object detector should be accurate, it should be light and fast as well. However, current object detectors tend to be either inaccurate when lightweight or very slow and heavy when accurate. Accordingly, determining tolerable tradeoff between speed and accuracy of an object detector is not a simple task. One of the object detectors that have commendable balance of speed and accuracy is YOLOv2. YOLOv2 performs detection by dividing an input image into grids and training each grid cell to predict certain number of objects. In this paper we propose a new approach to even make YOLOv2 more fast and accurate. We re-purpose YOLOv2 into a dense object detector by using fine-grained gr…

Class (computer programming)Computer sciencebusiness.industry05 social sciencesDetectorFunction (mathematics)010501 environmental sciencesObject (computer science)01 natural sciencesObject detectionImage (mathematics)Task (computing)Simple (abstract algebra)0502 economics and businessComputer visionArtificial intelligence050207 economicsbusiness0105 earth and related environmental sciences2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)
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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…

Class (computer programming)business.industryComputer scienceBinary imagedigital Hilbert transformationsSample (graphics)GrayscaleSet (abstract data type)Identification (information)OpticsDiscriminantInformation systemComputer visionArtificial intelligenceobject identificationtexture identificationbusiness
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One-Sided Prototype Selection on Class Imbalanced Dissimilarity Matrices

2012

In the dissimilarity representation paradigm, several prototype selection methods have been used to cope with the topic of how to select a small representation set for generating a low-dimensional dissimilarity space. In addition, these methods have also been used to reduce the size of the dissimilarity matrix. However, these approaches assume a relatively balanced class distribution, which is grossly violated in many real-life problems. Often, the ratios of prior probabilities between classes are extremely skewed. In this paper, we study the use of renowned prototype selection methods adapted to the case of learning from an imbalanced dissimilarity matrix. More specifically, we propose the…

Class (computer programming)business.industryPattern recognitionPattern RecognitionMachine learningcomputer.software_genreSet (abstract data type)Matrix (mathematics)Distribution (mathematics)DissimilarityOne sidedPattern recognition (psychology)Artificial intelligenceRepresentation (mathematics)businesscomputerSelection (genetic algorithm)Mathematics
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Permutability of injectors with a central socle in a finite solvable group

2017

In response to an Open Question of Doerk and Hawkes [5, IX Section 3, page 615], we shall show that if Zπ is the Fitting class formed by the finite solvable groups whose π-socle is central (where π is a set of prime numbers), then the Zπ-injectors of a finite solvable group G permute with the members of a Sylow basis in G. The proof depends on the properties of certain extraspecial groups [4].

Class (set theory)Algebra and Number Theory010102 general mathematicsSylow theoremsPrime numberBasis (universal algebra)01 natural sciencesFitting subgroupSet (abstract data type)CombinatoricsSection (category theory)Solvable group0103 physical sciences010307 mathematical physics0101 mathematicsMathematicsJournal of Algebra
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Injectors with a central socle in a finite solvable group

2013

Abstract In response to an Open Question of Doerk and Hawkes (1992) [2, IX §4, p. 628] , we shall describe three constructions for the Z π -injectors of a finite solvable group, where Z π is the Fitting class formed by the finite solvable groups whose π -socle is central (and π is a set of prime numbers).

Class (set theory)Algebra and Number Theoryfitting classinjectorPrime numberFitting subgroupCombinatoricsSet (abstract data type)Soclecentral socleSolvable groupfinite solvable group theoryNilpotent groupMathematics
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Overlapping self-affine sets of Kakeya type

2009

We compute the Minkowski dimension for a family of self-affine sets on the plane. Our result holds for every (rather than generic) set in the class. Moreover, we exhibit explicit open subsets of this class where we allow overlapping, and do not impose any conditions on the norms of the linear maps. The family under consideration was inspired by the theory of Kakeya sets.

Class (set theory)Applied MathematicsGeneral Mathematics010102 general mathematicsMinkowski–Bouligand dimensionDynamical Systems (math.DS)Type (model theory)16. Peace & justice01 natural sciencesCombinatoricsSet (abstract data type)Mathematics - Classical Analysis and ODEs0103 physical sciencesClassical Analysis and ODEs (math.CA)FOS: Mathematics28A80 37C45010307 mathematical physicsAffine transformationMathematics - Dynamical Systems0101 mathematicsMathematicsErgodic Theory and Dynamical Systems
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Noise-tolerant efficient inductive synthesis of regular expressions from good examples

1997

We present an almost linear time method of inductive synthesis restoring simple regular expressions from one representative (good) example. In particular, we consider synthesis of expressions of star-height one, where we allow one union operation under each iteration, and synthesis of expressions without union operations from examples that may contain mistakes. In both cases we provide sufficient conditions defining precisely the class of target expressions and the notion of good examples under which the synthesis algorithm works correctly, and present the proof of correctness. In the case of expressions with unions the proof is based on novel results in the combinatorics of words. A genera…

Class (set theory)CorrectnessComputer programComputer Networks and CommunicationsComputer scienceComputer experimentTheoretical Computer ScienceHardware and ArchitectureSimple (abstract algebra)Regular expressionTime complexityAlgorithmSoftwareProgram synthesisNew Generation Computing
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Filtering design for two-dimensional Markovian jump systems with state-delays and deficient mode information

2014

This paper is concerned with the problem of H"~ filtering for a class of two-dimensional Markovian jump linear systems described by the Fornasini-Marchesini local state-space model. The systems under consideration are subject to state-delays and deficient mode information in the Markov chain. The description of deficient mode information is comprehensive that simultaneously includes the exactly known, partially unknown and uncertain transition probabilities. By invoking the properties of the transition probability matrix, together with the convexification of uncertain domains, a new H"~ performance analysis criterion for the filtering error system is firstly derived. Then, via some matrix i…

Class (set theory)Information Systems and ManagementMarkov chainMode (statistics)H filteringComputer Science Applications1707 Computer Vision and Pattern RecognitionState (functional analysis)Filter (signal processing)Deficient mode informationComputer Science ApplicationsTheoretical Computer ScienceSet (abstract data type)Deficient mode information; H filtering; Markovian jump system; State-delay; Two-dimensional system; Artificial Intelligence; Software; Control and Systems Engineering; Theoretical Computer Science; Computer Science Applications1707 Computer Vision and Pattern Recognition; Information Systems and ManagementMatrix (mathematics)Control theoryState-delayArtificial IntelligenceControl and Systems EngineeringMarkovian jump systemApplied mathematicsTwo-dimensional systemDesign methodsSoftwareMathematics
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Approximating hidden chaotic attractors via parameter switching.

2018

In this paper, the problem of approximating hidden chaotic attractors of a general class of nonlinear systems is investigated. The parameter switching (PS) algorithm is utilized, which switches the control parameter within a given set of values with the initial value problem numerically solved. The PS-generated attractor approximates the attractor obtained by averaging the control parameter with the switched values, which represents the hidden chaotic attractor. The hidden chaotic attractors of a generalized Lorenz system and the Rabinovich-Fabrikant system are simulated for illustration. In Refs. 1–3, it is proved that the attractors of a chaotic system, considered as the unique numerical …

Class (set theory)Mathematics::Dynamical SystemsChaoticGeneral Physics and AstronomyFOS: Physical sciences01 natural sciences010305 fluids & plasmasSet (abstract data type)phase space methods0103 physical sciencesAttractorApplied mathematicsInitial value problemdifferentiaalilaskenta010301 acousticsMathematical PhysicsMathematicsApplied Mathematicsta111numerical approximationsStatistical and Nonlinear Physicschaotic systemsLorenz systemchaoticNonlinear Sciences - Chaotic DynamicsNonlinear Sciences::Chaotic DynamicsNonlinear systemkaaosnumeerinen analyysinonlinear systemsChaotic Dynamics (nlin.CD)Chaos (Woodbury, N.Y.)
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