Abstract: We are interested in understanding stability (almost sure boundedness) of stochastic approximation algorithms (SAs) driven by a “controlled Markov” process. Analyzing this class of ...

This study presents a useful exploration of the complex relationship between structure and function in the developing human brain using a large-scale imaging dataset from the Human Connectome Project ...

Abstract: Deep learning based video depression analysis has been recently an interesting and challenging topic. Most of existing works focus on learning single-scale facial dynamics of participants ...

A key driver of mammalian intelligence is the ability to represent incoming sensory information across multiple abstraction levels. For example, in the visual ventral stream, incoming signals are ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Article Views are the COUNTER-compliant sum of full text article downloads since ...

We base our datasets on the AVCA repository. The dataset structure is identical to AVCA and the dataset folder is called avgzsl_benchmark_non_averaged_datasets. The only difference is that we use ...

LSTM networks are designed to overcome long-term dependency issues in sequential data. RNNs utilise memory from previous inputs to affect current outputs, unlike traditional neural networks. The main ...