Learning Sparse Generative Models of Audiovisual Signals
Other literature type, Conference object
lts2 | multimodal | sparsity | learning
arxiv: Computer Science::Graphics
This paper presents a novel framework to learn sparse represen- tations for audiovisual signals. An audiovisual signal is modeled as a sparse sum of audiovisual kernels. The kernels are bimodal functions made of synchronous audio and video components that can be ...