Thanks for your great work on this project — your input here would be really appreciated when you have a moment! It seems that Triton kernel example does not return sparsity, like CUDA kernel does ...

Kernel Canonical Correlation Analysis (KCCA) is an effective method for globally detecting brain activation with reduced computational complexity. However, the current KCCA is limited to linear ...

BELHAVEN, N.C. — Bump, set and spike. The student-athletes who attended the volleyball camp at Pungo Christian Academy last week were learning some of the basics of playing the sport. Camp instructor ...

COCO BY-PRODUCT. Copra is the dried meat or kernel of the coconut from which premium oil can be extracted. The Philippine Coconut Authority said Thursday (Jan. 30, 2025) higher copra prices will help ...

I am currently trying to create a kernel.pca with a meta-kernel object (from combine.kernels()) using the latest version of mixKernel. I am having some issue with ...

Abstract: The principal component analysis (PCA) is one of the most commonly used feature extraction methods in face recognition, but the traditional PCA method can't deal with the non-linear problem ...

Abstract: Though kernel methods have been widely used for feature extraction, it suffers from the problem that its feature extraction efficiency is in inverse proportion to the size of the training ...