Displaying 273 resources

Representation Learning for Natural Language Processing

Provides a comprehensive overview of the representation learning techniques for natural language processing. Presents a systematic and thorough introduction to the theory, algorithms and applications of representation learning. Shares insights into
Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand

ECG Signal Analysis

This lecture overviews ECG Signal Analysis as well as other cardiology imaging methods that has many applications in cardiological disorder diagnosis and treatment. It covers the following topics in detail: Background nnowledge of ECG Signals.
Category
Data for AI, Systems, methodologies, hardware, and tools
Source
AI-OnDemand

Fast 1D Convolution Algorithms

1D convolutions are extensively used in digital signal processing (filtering/denoising) and analysis (also through CNNs).  As their computational complexity is of the order O(N^2), their fast execution is a must. This lecture will overview
Category
Data for AI, Systems, methodologies, hardware, and tools
Source
AI-OnDemand

An Introduction to PAC-Bayesian Analysis

This resource corresponds to 9th video from the AI Excellence Lecture Series. PAC-Bayesian Analysis is a framework in machine learning and statistics that combines ideas from the Probably Approximately Correct (PAC) learning framework and Bayesian p
Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand

Video Captioning

This lecture overviews Video Captioning that has many applications in video description, search and retrieval. It covers the following topics in detail: Video captioning definitions and datasets.
Category
Data for AI, Systems, methodologies, hardware, and tools
Source
AI-OnDemand

Autonomous Systems Sensors

This lecture overviews Autonomous Systems Sensors  that has many applications in Autonomous robots, cars, vessels and drones.
Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand

A survey of manifold learning and its applications for multimedia, Hannes Fassold, Proc. ICVSP, 2023

The survey paper gives an introduction into manifold learning and how it is employed for important application fields (similarity search, image classification, synthesis & enhancement, video analysis, 3D data processing, nonlinear dimension reduc
Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand

From Images to Text New forms of Human-AI Interaction

Recent progress in the Computer Vision and Natural Language Processing communities have made it possible to connect Vision and Language together in a variety of different tasks which lie at the intersection of Vision, Language, and Embodied AI.
Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand

Multilayer perceptron. Backpropagation

This lecture covers the basic concepts and architectures of Multi-Layer Perceptron (MLP), Activation functions, and Universal Approximation Theorem.
Category
Data for AI, Systems, methodologies, hardware, and tools
Source
AI-OnDemand

Autonomous Car Sensors

This lecture overviews Autonomous Car Sensors that has many applications in autonomous car perception.
Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand

Video Streaming

This lecture overviews Video Streaming  that has many applications in videoconferencing, social media and TV webcasting.
Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand

Transform Video Compression

This lecture overviews Transform Video Compression  that has many applications in digital TV broadcasting, videoconferencing, video streaming and social media.
Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand