文件名称：目标识别领域顶刊论文合集21篇
文件大小：15.75MB
文件格式：RAR
更新时间：2022-01-31 01:26:20
模式识别 雷达目标识别
目标识别领域顶刊论文合集21篇，主要为模式识别、多分类，雷达目标识别
【文件预览】：
识别
----Sparse representation-based SAR image target classification on the 10-class MSTAR data set.pdf(2.15MB)
----SAR target recognition via joint sparse representation of monogenic signal.pdf(2.18MB)
----Flexible clustered multi-task learning by learning representative tasks.pdf(629KB)
----Radar target HRRP recognition based on reconstructive and discriminative dictionary learning.pdf(483KB)
----Adaptive boosting for SAR automatic target recognition.pdf(1.34MB)
----Convex multi-task feature learning.pdf(691KB)
----HEp-2 cells Classification via clustered multi-task learning.pdf(759KB)
----SAR Target Configuration Recognition Using Tensor Global and Local Discriminant Embedding.pdf(730KB)
----A regularization approach to learning task relationships in multitask learning.pdf(243KB)
----Support vector machines for SAR automatic target recognition.pdf(753KB)
----SAR Target Recognition via Supervised Discriminative Dictionary Learning and Sparse Representation of the SAR-HOG Feature.pdf(873KB)
----Synthetic aperture radar target recognition with feature fusion based on a stacked autoencoder.pdf(2.87MB)
----Joint covariate selection and joint subspace selection for multiple classification problems.pdf(1.03MB)
----Regularizedmulti-task learning.pdf(174KB)
----Accelerated Gradient Method for Multi-Task Sparse Learning Problem.pdf(263KB)
----Clustered multi-task learning via alternating structure optimization.pdf(55KB)
----Multitask Sparsity via Maximum Entropy Discrimination.pdf(323KB)
----The integrated track splitting filter–Efficient multi-scan single target tracking in clutter.pdf(1.66MB)
----SAR Automatic Target Recognition Based on Dictionary Learning and Joint Dynamic Sparse Representation.pdf(781KB)
----sensors-17-02218-v2.pdf(3.67MB)
----p-norm and sample constraint based feature selection and classification for AD diagnosis.pdf(661KB)
----SAR image target recognition via Complementary Spatial Pyramid Coding.pdf(2.17MB)