Displaying 273 resources
Domain Adaptation and Generalization
There is an issue of domain shift in machine learning models, which occurs when models trained on one dataset perform poorly when tested on data from a different source.
A Survey on Proactive Dialogue Systems: Problems, Methods, and Prospects
Proactive dialogue systems, related to a wide range of real-world conversational applications, equip the conversational agent with the capability of leading the conversation direction towards achieving pre-defined targets or fulfilling certain goals
Parameter Estimation
This lecture overviews Parameter estimation that has many applications in Statistics and Pattern Recognition.
Course on Continual Learning (given at ESSAI 2023)
5 lectures on continual learning, given at ESSAI 2023.
Introduction to 3D imaging
This lecture overviews Introduction to 3D imaging that has many applications in medical imaging, scientific imaging, microscopy and computer vision.
Adversarial Machine Learning
This lecture overviews Adversarial Machine Learning that has many applications in DNN robustness and in privacy protection.
Image Acquisition
This lecture overviews that has many applications in computer vision, digital imaging, social media and media production.
Mathematical brain modeling
This lecture overviews Mathematical Brain Modeling that has many applications in Artificial Neural Networks. It covers the following topics in detail: Brain Cells (Sensory and Motor neurons, Interneurons, glia).
Region Segmentation
This lecture overviews Region Segmentation and Texture Description that have many applications in in image analysis, notably in shape description and object recognition It covers the following topics in detail: Image segmentation by thresholding.
3D Image and Video Quality
This lecture overviews 3D Image and Video Quality that has many applications in stereoscopic imaging, 3D TV and 3D cinema.
What is AI?
The stakes of this lecture are as follows: Can an ordinary person having a high school education and genuine interest understand the basic principles of Artificial Intelligence in just an one-hour lecture?
Shape Description
This lecture overviews Shape Description that has many applications in object recognition and image compression. It covers the following topics in detail: Chain Codes. Polygonal Contour Approximations. Fourier Descriptors. Quadtrees.