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[1] C. V. Jawahar, P. J. Narayanan, and S. Rakshit. “A flexible scheme for representation, matching, and retrieval of images”. ICVGIP 2000, pages 271–277.Allied Publishers Ltd., 2000 Sách, tạp chí
Tiêu đề: A flexible scheme for representation, matching, and retrieval of images
[2] Svetlana Lazebnik, Cordelia Schmid, Jean Ponce “Beyond Bags of Features Spatial Pyramid Matching for Recognizing Natural Scene Categories”, CVPR 2006 Sách, tạp chí
Tiêu đề: Beyond Bags of Features Spatial Pyramid Matching for Recognizing Natural Scene Categories
[3] Xuezheng Liu, Lei Zhang, Mingjing Li, Hongjiang Zhang, Dingxing Wang. “Boosting Image Classification with LDA-based Feature Combination for Digital Photograph Management”. Department of Computer Science and Technology, Tsinghua University, Beijing 100080, China. 07-2008 Sách, tạp chí
Tiêu đề: Boosting Image Classification with LDA-based Feature Combination for Digital Photograph Management
[4] Dimitri A. Lisin, Marwan A. Mattar, Matthew B. Blaschko, Mark C. Benfield, Erik G. Learned-Miller. “Combining Local and Global Image Feature for Object Class Recognition”. Computer Vision Laboratory, Dept. of Computer Science, University of Massachusetts, Amherst, MA 01003 USA, 2010 Sách, tạp chí
Tiêu đề: Combining Local and Global Image Feature for Object Class Recognition
[5] Vanita G. Tonge. “Content Based Image Retrieval by K-Means Clustering Algorithm”. Department of Computer Technology, RCERT, Chandrapur (M.S.), India. Match 25, 2009 Sách, tạp chí
Tiêu đề: Content Based Image Retrieval by K-Means Clustering Algorithm
[6] David G. Lowe. “Object Recognition from Local Scale-Invariant Features”. Computer Science Department University of British Columbia, 2005 Sách, tạp chí
Tiêu đề: Object Recognition from Local Scale-Invariant Features
[7] Mohamed Aly. “Face Recognition using SIFT Features”. AlyCNS186 Term Project Winter, 2006 Sách, tạp chí
Tiêu đề: Face Recognition using SIFT Features
[8] V. ShivNaga Prasad, A.G. Faheema, Subrata Rakshi. “Feature Selection in Example-Based Image Retrieval Systems”. Indian Conference on Vision Graphics and Image Processing, 2002 Sách, tạp chí
Tiêu đề: Feature Selection in Example-Based Image Retrieval Systems”. "Indian Conference on Vision Graphics and Image Processing
[9] XiZhou, Kai Yu, Tong Zhang, Thomas S. Huang. “Image Classification using Super-Vector Coding of Local Image Descriptors”. Dept. of ECE, University of Illinois at Urbana-Champaign, Illinois NEC Laboratories America, California 2008 Sách, tạp chí
Tiêu đề: Image Classification using Super-Vector Coding of Local Image Descriptors
[10] Javier Ruiz-del-Solar, and Patricio Loncomilla. “Object Recognitionusing Local Descriptors”. Center for Web Research Universidad de Chile, 12/2004 Sách, tạp chí
Tiêu đề: Object Recognitionusing Local Descriptors
[11] Ariadna Quattoni, Antonio Torralba. “Recognizing Indoor Scenes”. CSAIL, MIT, UC Berkeley EECS & ICSI, 01/2004 Sách, tạp chí
Tiêu đề: Recognizing Indoor Scenes
[12] W. Jiang, G. Er, Q. Dai and J. Gu. “Similarity-Based Online Feature Selection In Content-Based Image Retrieval”. IEEE Trans. Image Processing, 15 (3), pp.702- 712, 2006 Sách, tạp chí
Tiêu đề: Similarity-Based Online Feature Selection In Content-Based Image Retrieval”. "IEEE Trans. Image Processing
[13] Herbert Bay, Andreas Ess, Tinne Tuytelaars, Luc Van Gool. “Speeded-up Robust Features (SURF)”. Computer Vision and Image Understanding 110, 2008 Sách, tạp chí
Tiêu đề: Speeded-up Robust Features (SURF)”. "Computer Vision and Image Understanding 110
[14] YU Xin, ZHENG Zhaobao, ZHANG Haitao, YE Zhiwei. “Texture classification of aerial image based on bayesian network augmanted nạve bayes”.Photogrammetry and Remote Sensing Center, Beijing Instititute of Surveying and Mapping, Beijing, 100038, China, 03/2008 Sách, tạp chí
Tiêu đề: Texture classification of aerial image based on bayesian network augmanted nạve bayes
[15] Qian Du. “Unsupervised real-time constrained linear discriminant analysis to hyperspectral image classification”. Department of Electrical and Computer Engineering, Missisippi State University, MS 39762, USA, 2006 Sách, tạp chí
Tiêu đề: Unsupervised real-time constrained linear discriminant analysis to hyperspectral image classification
[16] Maridalia Guerrero. “A Comparative Study of Three Image Matcing Algorithms: Sift, Surf, and Fast”. Utah State University, 01/2011 Sách, tạp chí
Tiêu đề: A Comparative Study of Three Image Matcing Algorithms: Sift, Surf, and Fast
[17] Viola P. and Jones M. “Rapid object detection using a boosted cascade of simple features”, In: CVPR 2001 Sách, tạp chí
Tiêu đề: Rapid object detection using a boosted cascade of simple features
[18] Edwin Rowe, “The Los Angeles Automated Traffic Surveillance and Control (ATSAC) System”, IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, VOL. 40, NO. 1, FEBRUARY 1991 Sách, tạp chí
Tiêu đề: The Los Angeles Automated Traffic Surveillance and Control (ATSAC) System”, "IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
[19] Krystian Mikolajczyk and Cordelia Schmid, “A performance evaluation of local descriptors,” IEEE Transactions on Pattern Analysis & Machine Intelligence, vol Sách, tạp chí
Tiêu đề: A performance evaluation of local descriptors,” "IEEE Transactions on Pattern Analysis & Machine Intelligence
[20] Yi Yang and Shawn Newsam, “Comparing sift descriptors and gabor texture features for classification of remote sensed imagery,” in ICIP, 2008, pp. 1852–1855 Sách, tạp chí
Tiêu đề: Comparing sift descriptors and gabor texture features for classification of remote sensed imagery

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