Displaying 338 resources

Kernel methods

This lecture overviews Kernel Methods that have many applications in classification and clustering. It covers the following topics in detail: Kernel Trick. Kernel Matrix. Kernel PCA. Kernel correlation and its use in object tracking. Kernel k-means.
Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand

Deep Semantic Image Segmentation

Semantic image segmentation is a very important computer vision task with several applications in autonomous systems perception, robotic vision and medical imaging.
Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand

Discrete-time Signals and Systems

This lecture overviews discrete-time Signals and Systems topics. Discrete-time signals are presented: periodic signals, delta signal, unit step signal, exponential signal, trigonometric signals, complex exponential signal.
Category
Data for AI, Recommendations towards policy changes
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

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

Neural SLAM

This lecture overviews Neural SLAM   that has many applications in robotic and autonomous vehicle localization and mapping.
Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand