A multiple attributes convolution kernel with reproducing propertyPattern Analysis and Applications - Tập 20 - Trang 485-494 - 2015
Lixiang Xu, Xiu Chen, Xin Niu, Cheng Zhang, Bin Luo
Various kernel-based methods have been developed with great success in many fields, but very little research has been published that is concerned with a multiple attribute kernel in reproducing kernel Hilbert space (RKHS). In this paper, we propose a novel elastic kernel called a multiple attribute convolution kernel with reproducing property (MACKRP) and present improved classification results ov...... hiện toàn bộ
Bayesian classification and unsupervised learning for isolating weeds in row cropsPattern Analysis and Applications - Tập 17 - Trang 401-414 - 2012
François-Michel De Rainville, Audrey Durand, Félix-Antoine Fortin, Kevin Tanguy, Xavier Maldague, Bernard Panneton, Marie-Josée Simard
This paper presents a weed/crop classification method using computer vision and morphological analysis. Subsequent supervised and unsupervised learning methods are applied to extract dominant morphological characteristics of weeds present in corn and soybean fields. The novelty of the presented technique resides in the feature extraction process that is based on spatial localization of vegetation ...... hiện toàn bộ
A new run-based algorithm for Euler number computingPattern Analysis and Applications - Tập 20 - Trang 49-58 - 2015
Bin Yao, Lifeng He, Shiying kang, Xiao Zhao, Yuyan Chao
The Euler number of a binary image is an important topological feature for many image processing, image analysis, pattern recognition, and computer vision applications. This paper proposes a new run-based Euler number computation algorithm. The conventional run-based algorithm processes rows of the given image one-by-one from top to bottom in a single phase. For each row, it finds the runs in the ...... hiện toàn bộ
Improved quality assessment of colour surfaces for additive manufacturing based on image entropyPattern Analysis and Applications - Tập 23 Số 3 - Trang 1035-1047 - 2020
Krzysztof Okarma, Jarosław Fastowicz
AbstractA reliable automatic visual quality assessment of 3D-printed surfaces is one of the key issues related to computer and machine vision in the Industry 4.0 era. The colour-independent method based on image entropy proposed in the paper makes it possible to detect and identify some typical problems visible on the surfaces of objects obtained by additive manufa...... hiện toàn bộ
Detecting unknown computer worm activity via support vector machines and active learningPattern Analysis and Applications - Tập 15 - Trang 459-475 - 2012
Nir Nissim, Robert Moskovitch, Lior Rokach, Yuval Elovici
To detect the presence of unknown worms, we propose a technique based on computer measurements extracted from the operating system. We designed a series of experiments to test the new technique by employing several computer configurations and background application activities. In the course of the experiments, 323 computer features were monitored. Four feature-ranking measures were used to reduce ...... hiện toàn bộ
A Hybrid Projection-based and Radial Basis Function Architecture: Initial Values and Global OptimisationPattern Analysis and Applications - Tập 5 - Trang 113-120 - 2002
S. Cohen, N. Intrator
We introduce a mechanism for constructing and training a hybrid architecture of projection-based units and radial basis functions. In particular, we introduce an optimisation scheme which includes several steps and assures a convergence to a useful solution. During network architecture construction and training, it is determined whether a unit should be removed or replaced. The resulting architec...... hiện toàn bộ
Automated hippocampal segmentation in 3D MRI using random undersampling with boosting algorithmPattern Analysis and Applications - Tập 19 - Trang 579-591 - 2015
Rosalia Maglietta, Nicola Amoroso, Marina Boccardi, Stefania Bruno, Andrea Chincarini, Giovanni B. Frisoni, Paolo Inglese, Alberto Redolfi, Sabina Tangaro, Andrea Tateo, Roberto Bellotti
The automated identification of brain structure in Magnetic Resonance Imaging is very important both in neuroscience research and as a possible clinical diagnostic tool. In this study, a novel strategy for fully automated hippocampal segmentation in MRI is presented. It is based on a supervised algorithm, called RUSBoost, which combines data random undersampling with a boosting algorithm. RUSBoost...... hiện toàn bộ
A study on vulnerability and presentation attack detection in palmprint verification systemPattern Analysis and Applications - Tập 21 - Trang 769-782 - 2017
Shruti Bhilare, Vivek Kanhangad, Narendra Chaudhari
As biometric systems become ubiquitous in the domain of personal authentication, it is of utmost importance that these systems are secured against attacks. Among various types of attacks on biometric systems, the presentation attack, which involves presenting a fake copy (artefact) of the real biometric to the biometric sensor to gain illegitimate access, is the most common one. Despite the seriou...... hiện toàn bộ