… of features, construct the fitness function by the classification accuracy using SVM, and
recognize all targets through SVM classifier by utilizing the optimized subset of features once they …

… methods usually searches for connected regions of pixels with some similar features such
as brightness, texture pattern, etc. traditional thresholding, region growing and classification …

… After sufficient training, the classification knowledge embedded in the numerical weights of
… classification results can be more trustable. In addition, we propose a new class of classifiers …

… P is a piecewise function of the slope and land use classes by supervised classification
based on spectral bands and land use class correction by changing the land use classes in the …

… A region-based hierarchical classification method for leaf images has been proposed in this
study. The goal of the research was to satisfy translation, scaling and rotation criterion and to …

… The resultant accuracy and classification time in this study … to adaptive neuro-fuzzy inference
system (ANFIS) classifier. … methods of normalization such as the Min-Max method, the Z-…

… Finally, for ease of setup, the adaptation of the system parameters is proposed. … So, we
propose the method to resolve and detect the queue in order that the tracking processing would …

… We present an adaptive isosurface extraction algorithm … analysis and simple cubic box
classification will be discussed in … search techniques such as search-min-max and search-max-…

… weighted group sparse classification steered discriminative projection, FWGSDP). 首先, 提出
特征加权组稀疏分类算法(Feature weighted group sparsebased classification, FWGSC) 进行…

… of the performance of classifier relative to the … a core classifier due to its low bias, high
customizability and better performance. Therefore, we choose SVM as one of the core classifiers in …