training and testing. Using appearance and motion information, the goal is to identify frame regions that are likely to contain actions. A three-stream convolutional neural network is adopted and improved by proposing a method based on extracting actionness...

convolutional neural network (CNN) is

presented.

Methods: Our method incorporates a novel technique utilizing a two-stage process

with two online datasets which results in accurate detection while solving the imbalance

data problem...

convolution kernel based on a convex combination of cosine kernels. CKNs are structurally similar to Convolutional Neural Networks -CNNs-, but the convolution operation in CKNs is based on the Euclidean distance, which is not common in convolutional networks...

Convolutional neural networks -CNNs- have become an essential tool for solving many machine vision and machine learning problems. A major element of these networks is the convolution operator which essentially computes the inner product between a...