Sparse reductions for fixed-size least squares support vector machines on large scale data
R Mall, JAK Suykens - Pacific-Asia Conference on Knowledge Discovery …, 2013 - Springer
Abstract Fixed-Size Least Squares Support Vector Machines (FS-LSSVM) is a powerful tool
for solving large scale classification and regression problems. FS-LSSVM solves an over …
for solving large scale classification and regression problems. FS-LSSVM solves an over …
基于图像处理和SVM 的植物叶片分类研究
魏蕾， 何东健， 乔永亮 - 农机化研究, 2013 - cqvip.com
为了提高植物叶片识别与分类的正确率, 提出了基于SVM 的识别模型和方法;
对叶片图像预处理后, 提取并优选10 个叶片形状特征参数, 用SVM 法进行训练建模并识别 …
对叶片图像预处理后, 提取并优选10 个叶片形状特征参数, 用SVM 法进行训练建模并识别 …
[PDF][PDF] Primal-dual framework for feature selection using least squares support vector machines
ABSTRACT Least Squares Support Vector Machines (LSSVM) perform classification using
L2-norm on the weight vector and a squared loss function with linear constraints. The major …
L2-norm on the weight vector and a squared loss function with linear constraints. The major …
[PDF][PDF] Step Function Approximation for Support Vector Reduction
A Allahyar, HS Yazdi - International Journal of Signal Processing, Image …, 2013 - Citeseer
Abstract Since introduction, the Support Vector Machines (SVM) has been popularly used in
machine learning and data mining tasks due to their strong mathematical background and …
machine learning and data mining tasks due to their strong mathematical background and …