Results 51 to 60 of about 1,581,096 (371)

Learning Discriminative Stein Kernel for SPD Matrices and Its Applications [PDF]

, 2015
Stein kernel has recently shown promising performance on classifying images represented by symmetric positive definite (SPD) matrices. It evaluates the similarity between two SPD matrices through their eigenvalues.
Li, Wanqing, Wang, Lei, Zhang, Jianjia, Zhou, Luping   +3 more
core   +1 more source

Assessment of Fatty Acid Composition, Bioactive Compounds, and Mineral Composition in Hazelnut Genetic Resources: Implications for Nutritional Value and Breeding Programs

Horticulturae, 2023
This study was carried out to determine the fatty acid composition, bioactive compounds, and mineral element content of standard hazelnut cultivars and accessions from the Eastern Black Sea region.
Mehmet Yaman, Mehmet Fikret Balta, Orhan Karakaya, Tuncay Kaya, Tomas Necas, Ercan Yildiz, Emine Dirim   +6 more
doaj   +1 more source

Fourier methods for smooth distribution function estimation [PDF]

, 2013
In this paper we show how to use Fourier transform methods to analyze the asymptotic behavior of kernel distribution function estimators. Exact expressions for the mean integrated squared error in terms of the characteristic function of the distribution ...
Chacón, José E., Monfort, Pablo, Tenreiro, Carlos   +2 more
core   +1 more source

Plug-in Bandwidth Selection for Kernel Density Estimation with Discrete Data

Econometrics, 2015
This paper proposes plug-in bandwidth selection for kernel density estimation with discrete data via minimization of mean summed square error. Simulation results show that the plug-in bandwidths perform well, relative to cross-validated bandwidths, in ...
Chi-Yang Chu, Daniel J. Henderson, Christopher F. Parmeter   +2 more
doaj   +1 more source

Culicoides (Diptera: Ceratopogonidae) Abundance Is Influenced by Livestock Host Species and Distance to Hosts at the Micro Landscape Scale

Insects, 2023
The vector/host ratio and host preference are important parameters for the modelling of vector-borne livestock diseases. It can be anticipated that Culicoides abundance is not homogeneously distributed in the landscape.
Armin R. W. Elbers, José L. Gonzales
doaj   +1 more source

Kernel-Induced Label Propagation by Mapping for Semi-Supervised Classification

, 2019
Kernel methods have been successfully applied to the areas of pattern recognition and data mining. In this paper, we mainly discuss the issue of propagating labels in kernel space.
Jia, Lei, Liu, Guangcan, Wang, Meng, Yan, Shuicheng, Zhang, Zhao, Zhao, Mingbo   +5 more
core   +1 more source

Combining multiscale features for classification of hyperspectral images: a sequence based kernel approach [PDF]

, 2016
Nowadays, hyperspectral image classification widely copes with spatial information to improve accuracy. One of the most popular way to integrate such information is to extract hierarchical features from a multiscale segmentation.
Chapel, Laetitia, Cui, Yanwei, Lefèvre, Sébastien   +2 more
core   +4 more sources

PCA-kernel estimation [PDF]

Statistics & Risk Modeling, 2012
Abstract Many statistical estimation techniques for high-dimensional or functional data are based on a preliminary dimension reduction step, which consists in projecting the sample X 1,...,X n onto the first D eigenvectors of the Principal Component Analysis ...
Biau, Gérard, Mas, André
openaire   +4 more sources

Knockout of the mitoribosome rescue factors Ict1 or Mtrfr is viable in zebrafish but not mice: compensatory mechanisms underlying each factor's loss

FEBS Open Bio, EarlyView.
Mitochondria contain two mitoribosome rescue factors, ICT1 and MTRFR (C12orf65). ICT1 also functions as a mitoribosomal protein in mice and humans, and its loss is lethal. Although Mtrfr knockout mice could not be generated, knockout zebrafish lines for ict1 and mtrfr were established.
Nobukazu Nameki, Chika Tomisawa, Soichiro Hoshino, Hidehiko Shimizu, Masashi Abe, Sho Arai, Kanako Kuwasako, Naoki Asakawa, Yusuke Inoue, Takuro Horii, Izuho Hatada, Masakatsu Watanabe   +11 more
wiley   +1 more source

Facial Expression Recognition Based on Local Binary Patterns and Kernel Discriminant Isomap

Sensors, 2011
Facial expression recognition is an interesting and challenging subject. Considering the nonlinear manifold structure of facial images, a new kernel-based manifold learning method, called kernel discriminant isometric mapping (KDIsomap), is proposed ...
Xiaoming Zhao, Shiqing Zhang
doaj   +1 more source