Displaying 271 resources
Recurrent Neural Networks. LSTMs
This lecture overviews Recurrent Neural Networks and Long Short-Term Memory (LSTM) networks that have many applications in signal and video analysis. It covers the following topics in detail: Neural Networks for Sequence Analysis.
Spectral Signal Analysis
This lecture overviews Spectral Signal Analysis that has many applications in periodicity estimation and acoustic/speech/music/biomedical signa analysis.
Music Genre Recognition
This lecture overviews Music Genre Recognition that has many applications in the music industry and in the social/broadcasted media. It covers the following topics in detail: Audio Feature Extraction.
3D Geometry Modeling
This lecture overviews that has many applications in 3D Computer Graphics, Architecture, Civil and Mechanical Engineering and in Medical imaging.
3D Image and Shape Compression
This lecture overviews 3D Image and Shape Compression hat has many applications in stereo imaging, cinema and 3D TV.
Active and Passive 3D shape reconstruction methods
This lecture overviews Active and Passive 3D shape reconstruction methods that has many applications in 3D computer vision, autonomous systems perception and medical imaging.