Bag-of-Feature model for sweet and bitter almond classification

[1]  Xudong Jiang,et al.  Multi-modal and multi-layout discriminative learning for placental maturity staging , 2017, Pattern Recognit..

[2]  Zexi Hu,et al.  Extended compressed tracking via random projection based on MSERs and online LS-SVM learning , 2016, Pattern Recognit..

[3]  Irwin R. Donis-González,et al.  Classification of processing asparagus sections using color images , 2016, Comput. Electron. Agric..

[4]  Young-Mi Kang,et al.  A two-camera machine vision approach to separating and identifying laboratory sprouted wheat kernels , 2016 .

[5]  José F. Rodrigues,et al.  Local descriptors for soybean disease recognition , 2016, Comput. Electron. Agric..

[6]  Suresh N. Mali,et al.  Identification of paddy varieties based on novel seed angle features , 2016, Comput. Electron. Agric..

[7]  G. Volpi.  Demonstrating the Presence of Cyanide in Bitter Seeds while Helping Students Visualize Metal–Cyanide Reduction and Formation in a Copper Complex Reaction , 2016 .

[8]  Sahin Isik,et al.  Wheat grain classification by using dense SIFT features with SVM classifier , 2016, Comput. Electron. Agric..

[9]  Bir Bhanu,et al.  A software system for automated identification and retrieval of moth images based on wing attributes , 2016, Pattern Recognit..

[10]  Miguel García-Silvente,et al.  A keypoints-based feature extraction method for iris recognition under variable image quality conditions , 2016, Knowl. Based Syst..

[11]  Chunhui Zhao,et al.  Bisecting k-means clustering based face recognition using block-based bag of words model , 2015 .

[12]  Long Qi,et al.  Hyperspectral image analysis based on BoSW model for rice panicle blast grading , 2015, Comput. Electron. Agric..

[13]  Hans Jørgen Andersen,et al.  Exploiting affine invariant regions and leaf edge shapes for weed detection , 2015, Comput. Electron. Agric..

[14]  Gil Alterovitz,et al.  Accelerating wrapper-based feature selection with K-nearest-neighbor , 2015, Knowl. Based Syst..

[15]  Raúl Montoliu,et al.  Team activity recognition in Association Football using a Bag-of-Words-based method. , 2015, Human movement science.

[16]  Artur Klepaczko,et al.  Identifying barley varieties by computer vision , 2015, Comput. Electron. Agric..

[17]  J. Amigo,et al.  Fast and robust discrimination of almonds (Prunus amygdalus) with respect to their bitterness by using near infrared and partial least squares-discriminant analysis. , 2014, Food chemistry.

[18]  C. Glasbey,et al.  Automatic fruit recognition and counting from multiple images , 2014 .

[19]  Kazufumi Kaneda,et al.  Computer-Aided Colorectal Tumor Classification in NBI Endoscopy Using CNN Features , 2016, ArXiv.

[20]  Changick Kim,et al.  Background subtraction using hybrid feature coding in the bag-of-features framework , 2013, Pattern Recognit. Lett..

[21]  A. Nasirahmadi,et al.  Identification of bean varieties according to color features using artificial neural network , 2013 .

[22]  Elisa A Nickum,et al.  Cyanide and Amygdalin as Indicators of the Presence of Bitter Almonds in Imported Raw Almonds , 2012, Journal of forensic sciences.

[23]  Xiangyang Wang,et al.  Affine invariant image watermarking using intensity probability density-based Harris Laplace detector , 2012, J. Vis. Commun. Image Represent..

[24]  Yu-ying Zhao.  Amygdalin content in four stone fruit species at different developmental stages , 2012 .

[25]  Chih-Jen Lin,et al.  LIBSVM: A library for support vector machines , 2011, TIST.

[26]  Dimosthenis L Giokas,et al.  Multivariate chemometric discrimination of cigarette tobacco blends based on the UV-Vis spectrum of their hydrophilic extracts. , 2011, Journal of hazardous materials.

[27]  M. Loghavi,et al.  Physical and Mechanical Properties of Almond (Prunus dulcis l. cv. 7Shahrood) , 2011 .

[28]  Andrea Vedaldi,et al.  Vlfeat: an open and portable library of computer vision algorithms , 2010, ACM Multimedia.

[29]  Manoochehr Ghiassi,et al.  Measuring effectiveness of a dynamic artificial neural network algorithm for classification problems , 2010, Expert Syst. Appl..

[30]  Zou Xiaobo,et al.  In-line detection of apple defects using three color cameras system , 2010 .

[31]  Chenglu Wen,et al.  Local feature-based identification and classification for orchard insects , 2009 .

[32]  David G. Lowe,et al.  Distinctive Image Features from Scale-Invariant Keypoints , 2004, International Journal of Computer Vision.

[33]  Christopher J. C. Burges,et al.  A Tutorial on Support Vector Machines for Pattern Recognition , 1998, Data Mining and Knowledge Discovery.

[34]  S. Engelsen,et al.  Vibrational microspectroscopy of food. Raman vs. FT-IR , 2003 .

[35]  S. Engelsen,et al.  Noninvasive Assay for Cyanogenic Constituents in Plants by Raman Spectroscopy: Content and Distribution of Amygdalin in Bitter Almond (Prunus Amygdalus) , 2002 .

[36]  P. Martínez-Gómez,et al.  Relationship between cyanogenic compounds in kernels, leaves, and roots of sweet and bitter kernelled almonds. , 2002, Journal of agricultural and food chemistry.

[37]  P. Schmitt‐Kopplin,et al.  Analysis of cyanogenic glycosides by micellar capillary electrophoresis. , 2000, Journal of chromatography. B, Biomedical sciences and applications.