图 书 馆开课单位--华盛顿州立大学
1 1/1
1Voxel Deconvolutional Networks for 3D Brain Image Labeling[用于3D脑图像标记的体素反卷积网络]
Yongjun Chen(华盛顿州立大学) Deep learning methods have shown great success in pixel-wise prediction tasks. One of the most popular methods employs an encoder-decoder network in w...
热度：35
Yongjun Chen(华盛顿州立大学) Deep learning methods have shown great success in pixel-wise prediction tasks. One of the most popular methods employs an encoder-decoder network in w...
热度：35
2Smoothed Dilated Convolutions for Improved Dense Prediction[用于改进密集预测的平滑扩张卷积]
Zhengyang Wang(华盛顿州立大学) Dilated convolutions, also known as atrous convolutions, have been widely explored in deep convolutional neural networks (DCNNs) for various tasks lik...
热度：45
Zhengyang Wang(华盛顿州立大学) Dilated convolutions, also known as atrous convolutions, have been widely explored in deep convolutional neural networks (DCNNs) for various tasks lik...
热度：45
3Adaptive Dimension Reduction Using Discriminant Analysis and K-means Clustering[基于判别分析和K均值聚类的自适应降维方法]
Shuiwang Ji(华盛顿州立大学) Regularized Kernel Discriminant Analysis (RKDA) performs linear discriminant analysis in the feature space via the kernel trick. The performance of RK...
热度：47
Shuiwang Ji(华盛顿州立大学) Regularized Kernel Discriminant Analysis (RKDA) performs linear discriminant analysis in the feature space via the kernel trick. The performance of RK...
热度：47
4An Accelerated Gradient Method for Trace Norm Minimization[一种用于迹线范数最小化的加速梯度法]
Shuiwang Ji(华盛顿州立大学) We consider the minimization of a smooth loss function regularized by the trace norm of the matrix variable. Such formulation finds applications in ma...
热度：158
Shuiwang Ji(华盛顿州立大学) We consider the minimization of a smooth loss function regularized by the trace norm of the matrix variable. Such formulation finds applications in ma...
热度：158
5A Least Squares Formulation for Canonical Correlation Analysis[典型相关分析的最小二乘公式]
Shuiwang Ji(华盛顿州立大学) Canonical Correlation Analysis (CCA) is a well-known technique for finding the correlations between two sets of multi-dimensional variables. It projec...
热度：90
Shuiwang Ji(华盛顿州立大学) Canonical Correlation Analysis (CCA) is a well-known technique for finding the correlations between two sets of multi-dimensional variables. It projec...
热度：90
1 1/1