Search results for "Discriminative model"

showing 4 items of 44 documents

Quality based classification of gasoline samples by ATR-FTIR spectrometry using spectral feature selection with quadratic discriminant analysis

2013

Abstract A chemometric approach has been developed for characterization of gasoline samples regarding their quality. Attenuated total reflectance – infrared spectrometric data were processed by genetic algorithm (GA) and successive projection algorithm (SPA) feature selection techniques, being employed as an initial step prior to apply a discriminative tool. It was aimed to classify the fuel samples according to their quality passed/failed data. Chemometric predictive procedures were developed using quadratic discriminant analysis (QDA) combined with GA and SPA as a feature subset and feature selection strategy. Results showed 93.3% and 95.6% accuracy for SPA-QDA and GA-QDA models respectiv…

business.industryGeneral Chemical EngineeringOrganic ChemistryAnalytical chemistryEnergy Engineering and Power TechnologyPattern recognitionFeature selectionQuadratic classifierMass spectrometryFuel TechnologyDiscriminative modelFeature (computer vision)Genetic algorithmArtificial intelligenceGasolinebusinessDykstra's projection algorithmMathematicsFuel
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Shared feature representations of LiDAR and optical images: Trading sparsity for semantic discrimination

2015

This paper studies the level of complementary information conveyed by extremely high resolution LiDAR and optical images. We pursue this goal following an indirect approach via unsupervised spatial-spectral feature extraction. We used a recently presented unsupervised convolutional neural network trained to enforce both population and lifetime spar-sity in the feature representation. We derived independent and joint feature representations, and analyzed the sparsity scores and the discriminative power. Interestingly, the obtained results revealed that the RGB+LiDAR representation is no longer sparse, and the derived basis functions merge color and elevation yielding a set of more expressive…

education.field_of_studybusiness.industryFeature extractionPopulationComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPattern recognitionConvolutional neural networkLidarData visualizationDiscriminative modelRGB color modelComputer visionArtificial intelligencebusinesseducationCluster analysis2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
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Classification of SD-OCT Volumes with LBP: Application to DME Detection

2015

International audience; This paper addresses the problem of automatic classification of Spectral Domain OCT (SD-OCT) data for automatic identification of patients with Diabetic Macular Edema (DME) versus normal subjects. Our method is based on Local Binary Patterns (LBP) features to describe the texture of Optical Coherence Tomography (OCT) images and we compare different LBP features extraction approaches to compute a single signature for the whole OCT volume. Experimental results with two datasets of respectively 32 and 30 OCT volumes show that regardless of using low or high level representations, features derived from LBP texture have highly discriminative power. Moreover, the experimen…

genetic structuresLocal binary patternsComputer scienceDiabetic macular edemaSpectral domain02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineOptical coherence tomographyDiscriminative modelLBP0202 electrical engineering electronic engineering information engineeringmedicineDMEComputer vision[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingmedicine.diagnostic_testbusiness.industryeye diseasesDiabetic Macular EdemaOCT020201 artificial intelligence & image processingArtificial intelligencesense organsOptical Coherence Tomographybusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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Mobilization of short-term memory capacity for odors in discriminative tests: implication for assessors' selection

2004

Abstract The objective was to determine whether individual short-term memory capacities for odor are related to performance at discriminative tests. Two groups of 11 subjects were formed with different short-term memory for odor but equivalent sensitivity toward benzaldehyde, the aromatic compound to be detected in discriminative tests. The subject sensitivity was determined by d ′ values, derived from a detection task. Memory span for odors was the largest number of odors memorized at once. It ranged from 1 to 3 for the low memory span group and from 5 to 7 for the high memory span group. Then, subjects performed 20 triangle tests and 12 2-out-of-5 tests with two strawberry flavored soft d…

medicine.medical_specialtyNutrition and Dieteticsbusiness.industryShort-term memoryAudiologyHigh memoryDiscriminative modelOdormedicineMemory spanArtificial intelligencePsychologybusinessSelection (genetic algorithm)Food ScienceTriangle testFood Quality and Preference
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