IEEE

Diagnosing and Improving Vector-Quantization-Based Blind Image Restoration

Abstract: Vector-Quantization (VQ) based discrete generative models are widely used to learn powerful high-quality (HQ) priors for blind image restoration (BIR). In this paper, we diagnose the ...
Visual Studio Magazine

Support Vector Regression with SGD Training Using C#

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

Changing AI math could reduce the hardware burden, researchers show

Sophisticated AI models tend to require a lot of memory and take up a lot of storage space. One of the ways to reduce that ...
IEEE

ERVQ: Leverage Residual Vector Quantization for Speech Emotion Recognition

Abstract: Although speech pre-trained models (PTM) have shown remarkable performance in speech emotion recognition (SER), they are constructed for general tasks and exhibit limitations in capturing ...
Occupational Health & Safety

Vector Solutions Puts Responsible AI and Gamified Training at the Forefront of Workplace Safety

The company is combining human-reviewed AI tools with interactive, gamified learning to improve safety training, incident ...