TFDCBS-Gaussian filters-VGG16 is a unique classification technique used to monitor bicycles, motorbikes, cars, trucks, and school buses in motion. This information was compiled based on real-world driving scenarios. It is possible to conduct detailed investigations on moving automobiles with them. ...
Following the same line of research, in this work, we explore the use of more sophisticated wavelet transforms (Coiflet, Daubechies) to perform the pooling. Additionally, considering that wavelets work similarly to filters, we propose a new pooling method for Convolutional Neural Network that ...
In the encoder module, we aim to capture more information with multiple-channel convolution and use large kernel convolution instead of small filters in each convolution operation. In the last layer, atrous convolution and pyramid pooling are used to extract multi-scale features. The architecture of...
RNA-protein interaction (RPI) is crucial to the life processes of diverse organisms. Various researchers have identified RPI through long-term and high-cost biological experiments. Although numerous machine learning and deep learning-based methods for pr
The nodes in the CNN input layer are organized into a set of “filters” (feature detectors inspired by the receptive fields found in the retina), and the output of each set of filters is propagated to nodes in successive layers of the network. The computations for a CNN include applying ...
Our CNN is based on a U-Net (Ronneberger et al., 2015) which takes the concatenated 3D moving and fixed image as input and predicts a 3D dense displacement field with the same resolution as the input images. The U-net consists of three levels starting with 16 filters in the first lay...
The playlist module 142 also filters the media links received from search engines 110 for media player 40. The media links are identified from the search results provided by search engines 110. The user can signal the search user-interface 120 to generate a search request specifying criterias ...
CNN output L\times2\times N_C, N_c for the number of CNN filters in the last CNN layer, then reshaped to L \times 2 N_C. The RNN output is mapped to the first output, the SPS, in regression manner using FC layers with linear activation. 10 degrees resolution 614 sampled direction...
Another type of popular method are filters, e.g., high-pass filters. Here, the estimation of the filters' parameters needs to be made with care. If the observed phenomena represent some natural growth processes, exponential models are best suited to capture the trend. Based on the insight ...
For better quantitative and qualitative analysis of ground objects, and a more precise visual interpretation, researchers usually use filters to decrease the noise which is a conventional method for SAR image preprocessing. However, the result is unsatisfactory because some amount of noise still remains...