Search results for "Recognition"

showing 10 items of 3607 documents

A robust aerial image registration method using Gaussian mixture models

2014

Aerial image registration is one of the bases in many aerospace applications, such as aerial reconnaissance and aerial mapping. In this paper, we propose a novel aerial image registration algorithm which is based on Gaussian mixture models. First of all, considering the characters of the aerial images, the work uses a shape feature detector which computes the boundaries of regions with nearly the same gray-value to extract invariant feature. Then, a Gaussian mixture models (GMM) based image registration model is built and solved to estimate the transformation matrix between two aerial images. Furthermore, the proposed method is applied on real aerial images, and the results demonstrate the …

Aerial surveyComputer sciencebusiness.industryFeature detectorCognitive NeuroscienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage registrationComputerApplications_COMPUTERSINOTHERSYSTEMSPattern recognitionComputer Science Applications1707 Computer Vision and Pattern RecognitionMixture modelAerial images; Feature detector; Gaussian mixture models; Image registration; Computer Science Applications1707 Computer Vision and Pattern Recognition; Cognitive Neuroscience; Artificial IntelligenceComputer Science ApplicationsComputer Science::RoboticsComputer Science::Systems and ControlArtificial IntelligenceComputer Science::Computer Vision and Pattern RecognitionAerial imagesComputer visionAerial reconnaissanceArtificial intelligenceGaussian mixture modelsbusinessAerial imageImage registration
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Compensatory strategies in processing facial emotions: evidence from prosopagnosia.

2006

We report data on the processing of facial emotion in a prosopagnosic patient (H.J.A.). H.J.A. was relatively accurate at discriminating happy from angry upright faces, but he performed at chance when the faces were inverted. Furthermore, with upright faces there was no configural interference effect on emotion judgements, when face parts expressing different emotions were aligned to express a new emergent emotion. We propose that H.J.A.'s emotion judgements relied on local rather than on configural information, and this local information was disrupted by inversion. A compensatory strategy, based on processing local face parts, can be sufficient to process at least some facial emotions.

Aged 80 and overMaleFacial expressionChi-Square DistributionCognitive NeuroscienceEmotionsInformation processingExperimental and Cognitive PsychologyRecognition PsychologyFacial recognition systemFacial ExpressionBehavioral NeuroscienceProsopagnosiaExpression (architecture)Pattern Recognition VisualFace (geometry)Case-Control StudiesReaction TimeHumansPsychologyComprehensionPhotic StimulationCognitive psychologyVisual agnosiaAgedNeuropsychologia
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Subjective states associated with retrieval failures in Parkinson's disease.

2013

Abstract Instances in which we cannot retrieve information immediately but know that the information might be retrieved later are subjective states that accompany retrieval failure. These are expressed in feeling-of-knowing (FOK) and Tip-of-the-tongue (TOT) experiences. In Experiment 1, participants with Parkinson’s disease (PD) and older adult controls were given general questions and asked to report when they experienced a TOT state and to give related information about the missing word. The PD group experienced similar levels of TOTs but provided less correct peripheral information related to the target when in a TOT state. In Experiment 2, participants were given a Semantic (general kno…

Aged 80 and overMaleParkinson's diseaseMetacognitionExperimental and Cognitive PsychologyContext (language use)Parkinson DiseaseRecognition PsychologyMemory performancemedicine.diseaseDevelopmental psychologyTask (project management)Arts and Humanities (miscellaneous)Tip of the tongueCase-Control StudiesMental RecallDevelopmental and Educational PsychologymedicineHumansGeneral knowledgeFemalePsychologyCognitive psychologyAgedConsciousness and cognition
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Do transposed-letter effects occur across lexeme boundaries?

2006

A masked priming lexical decision experiment was conducted to examine whether or not assignment of letter position in a word can be influenced by lexeme boundaries. The experiment was run in Basque, which is a strongly agglutinating language with a high proportion of inflected and compound words. Nonword primes were created by transposing two nonadjacent letters that crossed or did not cross morphological boundaries. Specifically, we compared morphologically complex prime-target pairs (e.g., arbigide-ARGIBIDE) with orthographic controls (e.g., arkipide-ARGIBIDE; note that ARGIBIDE is a compound of ARGI + BIDE) and noncompound pairs (e.g., ortakila--ORKATILA) with orthographic controls (e.g.…

Agglutinative languageLexemeVerbal BehaviorExperimental and Cognitive PsychologyLinguisticsRecognition PsychologyVocabularyLinguisticsArts and Humanities (miscellaneous)CompoundWord recognitionDevelopmental and Educational PsychologyLexical decision taskReaction TimeVisual PerceptionHumansPsychologyControl (linguistics)Priming (psychology)OrthographyLanguagePsychonomic bulletinreview
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E-Hitz: A word frequency list and a program for deriving psycholinguistic statistics in an agglutinative language (Basque)

2007

We describe a Windows program that enables users to obtain a broad range of statistics concerning the properties of word and nonword stimuli in an agglutinative language (Basque), including measures of word frequency (at the whole-word and lemma levels), bigram and biphone frequency, orthographic similarity, orthographic and phonological structure, and syllable-based measures. It is designed for use by researchers in psycholinguistics, particularly those concerned with recognition of isolated words and morphology. In addition to providing standard orthographic and phonological neighborhood measures, the program can be used to obtain information about other forms of orthographic similarity, …

Agglutinative languagePeriodicityVocabularyComputer scienceSpeech recognitionmedia_common.quotation_subjectBigramExperimental and Cognitive Psychologycomputer.software_genreVocabularyPsycholinguisticsLemma (psycholinguistics)Arts and Humanities (miscellaneous)PhoneticsSimilarity (psychology)StatisticsDevelopmental and Educational PsychologyHumansGeneral PsychologyLanguagemedia_commonPsycholinguisticsbusiness.industryPhoneticsWord lists by frequencyPsychology (miscellaneous)Artificial intelligencebusinesscomputerSoftwareNatural language processingBehavior Research Methods
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Supramolecular systems based on gold(I) derivatives : molecular recognition of L-glutamine and polyQ

2017

L-glutamiinin ja polyglutamiinin molekyylintunnistuksessa käytettyjen uusien organometallikompleksien mielenkiintoiset luminesoivat ominaisuudet ovat peräisin 4-etynyylianiliiniligandista ja fosfaaniyksiköstä sekä molekyylien välisistä Au⋯Au vuorovaikutuksista. Heikkojen intermolekulaaristen vuorovaikutusten on havaittu johtavan kuitu- ja pallomaisten muotojen morfologisiin muutoksiin vierasmolekyylien läsnä ollessa. Muodostunut isäntä-vieras -kompleksi tuottaa erilaisen emission vierasmolekyylistä riippuen. Lisäksi [Au(4-etynyylianiliini)(PTA)]:n itsejärjestäytymisen termodynaamisia funktioita tutkittiin eri pitoisuuksissa ja lämpötiloissa NMR mittausten avulla. Nämä lineaariset kulta(I) -…

AggregationAurophilic interactionLuminescenceaggregaatitluminesenssiGold(I)molekyylitMolecular recognitionPEGtunnistaminenkulta
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A combined electrophysiological and morphological examination of episodic memory decline in amnestic mild cognitive impairment.

2013

Early stages of Alzheimer’s disease (AD) are characterized by neuropathological changes within the medial temporal lobe cortex (MTLC), which lead to characteristic impairments in episodic memory, i.e., amnestic mild cognitive impairment (aMCI). Here, we tested the neural correlates of this memory impairment using event-related potentials (ERPs) and voxel-based morphometry. Twenty-four participants were instructed to encode lists of words and were tested in a yes/no recognition memory task. The dual-process model of recognition memory dissociates between acontextual familiarity and recollection of contextual details. The early frontal ERP old/new-effect, which is thought to represent a neura…

AgingCognitive Neuroscienceevent-related potentialsrecognition memorybehavioral disciplines and activitieslcsh:RC321-571Event-related potentialMemory impairmentvoxel-based morphometryOriginal Research ArticleMedial Temporal Lobeslcsh:Neurosciences. Biological psychiatry. NeuropsychiatryEpisodic memoryRecognition memoryfamiliarityRecallBrain morphometryevent-related potential (ERP)Voxel-based morphometrymedial temporal lobeVoxel Based MorphometryTemporal lobe/cortexPsychologyNeuroscienceCognitive psychologyNeuroscienceFrontiers in aging neuroscience
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KARD - Kinect Activity Recognition Dataset

2017

To cite this dataset, please refer to the following paper:Human Activity Recognition Process Using 3-D Posture Data. S. Gaglio, G. Lo Re, M. Morana. In IEEE Transactions on Human-Machine Systems. 2014 doi: 10.1109/THMS.2014.2377111******************************************************************KARD contains 18 Activities. Each activity is performed 3 times by 10 different subjects.1Horizontal arm wave2High arm wave3Two hand wave4Catch Cap5High throw6Draw X7Draw Tick8Toss Paper9Forward Kick10Side Kick11Take Umbrella12Bend13Hand Clap14Walk15Phone Call16Drink17Sit down18Stand upIn total, you have 4 (files) x 18 (activities) x 3 (repetitions) x 10 (subjects), that is 2160 files.Each filename …

Ambient IntelligenceArtificial IntelligenceComputer ScienceInterdisciplinary sciencesOtherActivity Recognition3D Imaging
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Motion sensors for activity recognition in an ambient-intelligence scenario

2013

In recent years, Ambient Intelligence (AmI) has attracted a number of researchers due to the widespread diffusion of unobtrusive sensing devices. The availability of such a great amount of acquired data has driven the interest of the scientific community in producing novel methods for combining raw measurements in order to understand what is happening in the monitored scenario. Moreover, due the primary role of the end user, an additional requirement of any AmI system is to maintain a high level of pervasiveness. In this paper we propose a method for recognizing human activities by means of a time of flight (ToF) depth and RGB camera device, namely Microsoft Kinect. The proposed approach is…

Ambient intelligencebusiness.industryComputer scienceSupport vector machineActivity recognitionActivity Recognition Ambient IntelligencePattern recognition (psychology)RGB color modelComputer visionArtificial intelligenceHidden Markov modelbusinessCluster analysisWireless sensor network2013 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)
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Sign Languages Recognition Based on Neural Network Architecture

2017

In the last years, many steps forward have been made in speech and natural languages recognition and were developed many virtual assistants such as Apple’s Siri, Google Now and Microsoft Cortana. Unfortunately, not everyone can use voice to communicate to other people and digital devices. Our system is a first step for extending the possibility of using virtual assistants to speech impaired people by providing an artificial sign languages recognition based on neural network architecture.

American Sign LanguageComputer sciencebusiness.industryTime delay neural networkDeep learningSpeech recognition020207 software engineering02 engineering and technologylanguage.human_languageRecurrent neural network0202 electrical engineering electronic engineering information engineeringNeural network architecturelanguage020201 artificial intelligence & image processingArtificial intelligencebusinessNatural languageSign (mathematics)
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