Search results for "DETECT"

showing 10 items of 5902 documents

Lesion of areas 17/18/19: effects on the cat's performance in a binary detection task

1988

The ability of two cats to discriminate between two geometrical outline patterns in the presence of superimposed Gaussian visual noise — i.e. in a binary detection task — was tested before and after bilateral removal of cortical areas 17, 18 and 19. The detection probability PD was measured as a function of the signal-to-noise ratio. After a lesion of areas 17, 18 and 19 both cats were unable to carry out the discrimination tasks. Their detection performance dropped to chance level, but after an extensive phase of retraining (3 months) they regained the ability to discriminate visual patterns. It was thus possible to obtain detection curves and to determine a measure of a performance which …

CommunicationCATSbusiness.industryGeneral NeuroscienceBrainBinary numberPattern recognitionForm PerceptionLesionTask (computing)Discrimination PsychologicalPattern Recognition VisualVisual patternsCatsImage noisemedicineAnimalsLearningDetection performanceFemaleArtificial intelligencemedicine.symptombusinessVisual CortexMathematicsExperimental Brain Research
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Mediatisation in Twitter: an exploratory analysis of the 2015 Spanish general election

2019

[EN] The mediatisation model in politics assumes that media conveys political messages between parties and citizenship, with the risk of promoting issues that frame the electoral content in terms of competition. These dynamics could distract from the debate of ideas and political policies. However, digital media like Twitter provide direct communication channels between parties, candidates and users. The present research explores Twitter content during an electoral campaign focused on the four issues proposed by Patterson (1980) to assess mediatisation: political, policy, campaign and personal (regarding the candidate). The goal of this research study is to evaluate the degree of mediatisat…

CommunicationTwitterMedia studiesPolitical communicationExploratory analysisCOMERCIALIZACION E INVESTIGACION DE MERCADOSMediatisationMediatisationPolitical communicationComputer-assisted content detectionPolitical scienceGeneral electionElectoral campaign
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The effect of texture on face identification and configural information processing

2014

Shape and texture are an integral part of face identity. In the present study, the importance of face texture for face identification and detection of configural manipulation (i.e., spatial relation among facial features) was examined by comparing grayscale face photographs (i.e., real faces) and line drawings of the same faces. Whereas real faces provide information about texture and shape of faces, line drawings are lacking texture cues. A change-detection task and a forced-choice identification task were used with both stimuli categories. Within the change detection task, participants had to decide whether the size of the eyes of two sequentially presented faces had changed or not. After…

Communicationbusiness.industryOrientation (computer vision)lcsh:BF1-990ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONInformation processingContext (language use)Pattern recognitionshapeTexture (music)lcsh:PsychologyFace perceptionFace (geometry)face perceptionface identificationArtificial intelligenceFace detectionPsychologybusinesstextureGeneral PsychologyChange detectionPsihologija
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Algorithms for Graph and Network Analysis: Clustering and Search of Motifs in Graphs

2019

In this article we deal with problems that involve the analysis of topology in graphs modeling biological networks. In particular, we consider two important problems: (i) Network clustering, aiming at finding compact subgraphs inside the input graph in order to isolate molecular complexes, and (ii) searching for motifs, i.e., sub-structures repeated in the input network and presenting high significance (e.g., in terms of their frequency). We provide a compact overview of the main techniques proposed in the literature to solve these problems.

Community detection Network clustering Network motifs Network topology
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LeptonInjector and LeptonWeighter: A neutrino event generator and weighter for neutrino observatories

2021

We present a high-energy neutrino event generator, called LeptonInjector, alongside an event weighter, called LeptonWeighter. Both are designed for large-volume Cherenkov neutrino telescopes such as IceCube. The neutrino event generator allows for quick and flexible simulation of neutrino events within and around the detector volume, and implements the leading Standard Model neutrino interaction processes relevant for neutrino observatories: neutrino-nucleon deep-inelastic scattering and neutrino-electron annihilation. In this paper, we discuss the event generation algorithm, the weighting algorithm, and the main functions of the publicly available code, with examples.

Computational PhysicsPhysics::Instrumentation and DetectorsAstrophysics::High Energy Astrophysical PhenomenaHigh Energy Physics::PhenomenologyHigh Energy Physics::ExperimentNeutrino PhysicsOtherInterdisciplinary sciences
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New super-orthogonal space-time trellis codes using differential M-PSK for noncoherent mobile communication systems with two transmit antennas

2010

Published version of an article in the journal: Annals of Telecommunications-Annales Des Telecommunications. Also available from the publisher at: http://dx.doi.org/10.1007/s12243-010-0191-1 In this paper, we develop super-orthogonal space-time trellis codes (SOSTTCs) using differential binary phase-shift keying, quadriphase-shift keying and eight-phase shift keying for noncoherent communication systems with two transmit antennas without channel state information at the receiver. Based on a differential encoding scheme proposed by Tarokh and Jafarkhani, we propose a new decoding algorithm with reduced decoding complexity. To evaluate the performance of the SOSTTCs by way of computer simulat…

Computational complexity theoryComputer scienceList decodingKeyingVDP::Technology: 500::Information and communication technology: 550Sequential decodingData_CODINGANDINFORMATIONTHEORYChannel state informationElectronic engineeringElectrical and Electronic Engineeringdifferential detection noncoherent communications super-orthogonal space-time trellies codesAlgorithmDifferential codingDecoding methodsComputer Science::Information TheoryPhase-shift keying
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An Improved Detection Technique for Cyclic-Prefixed OFDM

2010

A novel Orthogonal Frequency Division Multiplexing detection technique compatible to standard (e.g. Wireless LAN) transmitters is proposed. It features enhanced error-rate performance with flexible computational complexity and robustness to imperfect channel estimation. It is based on exploitation of the redundancy available in the cyclic prefix after cancellation of interference from the preceding block. In order to show the effectiveness of our proposal, an analysis of computational complexity and a number of comparisons to the standard per-subcarrier receiver and a previously existing method in terms of error rates are reported.

Computational complexity theoryLinear DetectionComputer Networks and CommunicationsOrthogonal frequency-division multiplexingComputer scienceSettore ING-INF/03 - TelecomunicazioniFrequency-selective channelCyclic prefixMaximum likelihood detectionSingle antenna interference cancellationRobustness (computer science)Maximum-Likelihood DetectionWireless lanStatisticsOrthogonal Frequency Division MultiplexingInterference CancellationAlgorithmComputer Science::Information Theory
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Superior Performances of the Neural Network on the Masses Lesions Classification through Morphological Lesion Differences

2007

Purpose of this work is to develop an automatic classification system that could be useful for radiologists in the breast cancer investigation. The software has been designed in the framework of the MAGIC-5 collaboration. In an automatic classification system the suspicious regions with high probability to include a lesion are extracted from the image as regions of interest (ROIs). Each ROI is characterized by some features based generally on morphological lesion differences. A study in the space features representation is made and some classifiers are tested to distinguish the pathological regions from the healthy ones. The results provided in terms of sensitivity and specificity will be p…

Computer Aided DetectionSupport Vector MachineNeural NetworksK-Nearest Neighbours
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Evaluation of Structural and Temporal Properties of Ego Networks for Data Availability in DOSNs

2017

The large diffusion of Online Social Networks (OSNs) has influenced the way people interact with each other. OSNs present several drawbacks, one of the most important is the problem of privacy disclosures. Distributed Online Social Networks (DOSNs) have been proposed as a valid alternative solution to solve this problem. DOSNs are Online Social Networks implemented on a distributed platform, such as a P2P system or a mobile network. However, the decentralization of the control presents several challenges, one of the main ones is guaranteeing data availability without relying on a central server. To this aim, users’ data allocation strategies have to be defined and this requires the knowledg…

Computer Networks and CommunicationsComputer scienceCommunity detection; Data availability; DOSN; P2P; Social networks; Temporal affinity; Software; Information Systems; Hardware and Architecture; Computer Networks and CommunicationsControl (management)Information System02 engineering and technologySocial networksField (computer science)Task (project management)Order (exchange)0202 electrical engineering electronic engineering information engineeringDOSNSocial networkStructure (mathematical logic)P2PCommunity detectionSocial networkbusiness.industry020206 networking & telecommunicationsData scienceData availabilityData availabilityHardware and ArchitectureCellular network020201 artificial intelligence & image processingTemporal affinitybusinessSoftwareInformation SystemsComputer networkMobile Networks and Applications
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Energy-efficient quantum computing

2016

In the near future, a major challenge in quantum computing is to scale up robust qubit prototypes to practical problem sizes and to implement comprehensive error correction for computational precision. Due to inevitable quantum uncertainties in resonant control pulses, increasing the precision of quantum gates comes with the expense of increased energy consumption. Consequently, the power dissipated in the vicinity of the processor in a well-working large-scale quantum computer seems unacceptably large in typical systems requiring low operation temperatures. Here, we introduce a method for qubit driving and show that it serves to decrease the single-qubit gate error without increasing the a…

Computer Networks and CommunicationsComputer scienceQC1-999FOS: Physical sciences01 natural sciences010305 fluids & plasmasEntanglementComputer Science::Emerging TechnologiesQuantum gateenergy consumption0103 physical sciencesComputer Science (miscellaneous)Electronic engineering010306 general physicsQuantumQuantum computerQuantum PhysicsPhysicskvanttitietokoneetStatistical and Nonlinear PhysicsenergiankulutusQA75.5-76.95Energy consumptionPower (physics)Computational Theory and MathematicsElectronic computers. Computer scienceQubitlämmön johtuminenQubitQuantum gatesQuantum Physics (quant-ph)Error detection and correctionEfficient energy use
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