Linear Discriminant Analysis
Mostrando 1-12 de 81 artigos, teses e dissertações.
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1. Sparse Estimation of the Precision Matrix and Plug-In Principle in Linear Discriminant Analysis for Hyperspectral Image Classification
ABSTRACT In this paper, a new method for supervised classification of hyperspectral images is proposed for the case in which the size of the training sample is small. It consists of replacing in the Mahalanobis distance the maximum likelihood estimator of the precision matrix by a sparse estimator. The method is compared with two other existing versions of L
Trends in Computational and Applied Mathematics. Publicado em: 2022
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2. Rapid Recognizing the Producing Area of a Tobacco Leaf Using Near-Infrared Technology and a Multi-Layer Extreme Learning Machine Algorithm
A novel recognition method was put forward to identify the producing areas of the flue-cured tobacco leaves rapidly and non-destructively by using a near-infrared (NIR) spectrometer and a multi-layer-extreme learning machine (ML-ELM) algorithm. In contrast to traditional linear discriminant analysis (LDA) and extreme learning machine (ELM) algorithms, the ac
Journal of the Brazilian Chemical Society. Publicado em: 2022
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3. ACCURACY OF GENETIC PARAMETERS ESTIMATION AND PREDICTION OF GENOTYPIC VALUES IN EUCALYPTUS USING DIFFERENT PLOT TYPES
ABSTRACT A suitable experimental design should control the environmental effect and be capable of discriminating genotypes. Two clonal tests of Eucalyptus were planted side by side in a randomized block design with the same 32 treatments under two different plot designs. The first trial was designed with five plants per plot (linear plot, LP) and six block r
CERNE. Publicado em: 2020-12
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4. Lugares: relações entre corpo e linguagem
ABSTRACT In Santa Catarina State, forest classification in successional stages is supported by the National Council of the Environment (CONAMA) Resolution. However, this classification presents several inconsistencies. This study aimed to evaluate the classification accuracy of three classifications schemes of successional stages proposed for the Subtropical
Rev. latinoam. psicopatol. fundam.. Publicado em: 2020-06
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5. SUCCESSIONAL STAGES OF SANTA CATARINA ATLANTIC SUBTROPICAL EVERGREEN RAINFOREST: A CLASSIFICATION METHOD PROPOSAL
ABSTRACT In Santa Catarina State, forest classification in successional stages is supported by the National Council of the Environment (CONAMA) Resolution. However, this classification presents several inconsistencies. This study aimed to evaluate the classification accuracy of three classifications schemes of successional stages proposed for the Subtropical
CERNE. Publicado em: 2020-06
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6. Rapid and Automatic Classification of Tobacco Leaves Using a Hand-Held DLP-Based NIR Spectroscopy Device
A hand-held near infrared (NIR) spectroscopy device is much more convenient than a traditional desktop NIR instrument. Thus, it is more suitable for the practical application. An automatic and rapid tool for grading tobacco leaves on the spot using a hand-held digital light processing (DLP)-based NIR spectroscopy device is proposed in this paper. Firstly, th
J. Braz. Chem. Soc.. Publicado em: 16/09/2019
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7. Potential of Texture Analysis for Charcoal Classification
Abstract Charcoal produced from reforested wood can be distinguished from the charcoal derived from the wood of native species. This identification is very important for the trade, control and monitoring of charcoal production in Brazil. This study investigated the potential of texture analysis for classifying the charcoal based on origin (eucalyptus or nati
Floresta Ambient.. Publicado em: 27/06/2019
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8. Automatic Identification of Cigarette Brand Using Near-Infrared Spectroscopy and Sparse Representation Classification Algorithm
A cigarette brand automatic classification method using near-infrared (NIR) spectroscopy and sparse representation classification (SRC) algorithm is put forward by the paper. Comparing with the traditional methods, it is more robust to redundancy because it uses non-negative least squares (NNLS) sparse coding instead of principal component analysis (PCA) for
J. Braz. Chem. Soc.. Publicado em: 2018-07
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9. Principal Component Analysis with Linear and Quadratic Discriminant Analysis for Identification of Cancer Samples Based on Mass Spectrometry
Mass spectrometry (MS) is a powerful technique that can provide the biochemical signature of a wide range of biological materials such as cells and biofluids. However, MS data usually has a large range of variables which may lead to difficulties in discriminatory analysis and may require high computational cost. In this paper, principal component analysis wi
J. Braz. Chem. Soc.. Publicado em: 2018-03
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10. Assessing population-level morphometric variation of the Mountain Mullet Agonostomus monticola (Teleostei: Mugilidae) across its Middle American distribution
ABSTRACT Population-level morphometric variation of the Mountain Mullet (Agonostomus monticola) was assessed in 419 adult specimens from 25 sample sites (river basins) across its Middle American distribution (Pacific and Atlantic-Caribbean drainages). This analysis was based on 36 standardized linear measurements and 19 landmarks on geometric morphometrics a
Neotrop. ichthyol.. Publicado em: 21/12/2017
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11. Artificial neural networks and linear discriminant analysis in early selection among sugarcane families
Abstract One of the major challenges in sugarcane breeding programs is an efficient selection of genotypes in the initial phase. The purpose of this study was to compare modelling by artificial neural networks (ANN) and linear discriminant analysis (LDA) as alternatives for the selection of promising sugarcane families based on the indirect traits number of
Crop Breed. Appl. Biotechnol.. Publicado em: 2017-12
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12. Variation of cuticular chemical compounds in three species of Mischocyttarus (Hymenoptera: Vespidae) eusocial wasps
Abstract The social wasps have a remarkable system of organization in which chemical communication mediate different behavioral interactions. Among the compounds involved in this process, cuticular hydrocarbons are considered the main signals for nestmate recognition, caste differentiation, and fertility communication. The aims of this study were to describe
Rev. Bras. entomol.. Publicado em: 2017-09