GitHub

harshchilhate/opencv-learning-practice

This repository is focused on learning and experimentation, it cointains minimum modified code from the book Practical Python and OpenCV.
GitHub

10-2--sklearn--thresholding-binary-feature-variance--VarianceThreshold.py

# Observations of feature 0: (0, 0, 0, 0, 1) -> 80% of class 0 and 20% of class 1 # Observations of feature 1: (1, 1, 1, 1, 0) -> 20% of class 0 and 80% of class 1 ...
eLife

Serotonergic modulation of motor subspace dynamics drives a sleep-independent quiescent state

The dorsal raphe nucleus (DRN) serotonergic (5-HT) system has been implicated in regulating sleep and motor control; however, its specific role remains controversial. In this study, we found that ...
IEEE

Theoretical Convergence Analysis and Initialization Comparisons of Deep Soft-Thresholding Networks

Abstract: Soft-thresholding (ST) has been widely used in deep neural networks. Its fundamental network structure is a deep soft-thresholding fully connected network (ST-FCN). However, training deep ST ...
IEEE

LCTC: Lightweight Convolutional Thresholding Sparse Coding Network Prior for Compressive Hyperspectral Imaging

Abstract: Compressive spectral imaging has garnered significant attention for its ability to effectively enhance the captured spatial and spectral information. Predominant methods, based on ...