Displaying 177 resources



The power of cooperation in networks of learning agents
We study the power of cooperation in a network of communicating agents that solve a learning task. Agents use an underlying communication network to get information about what the other agents know.



Machine learning for medicine and healthcare
Medicine stands apart from other areas where machine learning can be applied.



Neural Image Compression
This lecture overviews Neural Image Compression that has many applications in image storage and communications.



Super Resolution
This lecture overviews Super Resolution that has many applications in digital imaging, display and printing.



Fast 2D Convolutions Algorithms
This lecture will overview 2D linear and cyclic convolution. Then it will present their fast execution through FFTs, resulting in algorithms having computational complexity of the order O(N^2log2N).


The Ordinal Nature of Affect: An Emerging Approach
Computational representation of everyday emotional states is a challenging task and, arguably, one of the most fundamental for affective computing.