Search Results for author:
Found 8 papers, 3 papers with code
Improvement Of Audiovisual Quality Estimation Using A Nonlinear Autoregressive Exogenous Neural Network And Bitstream Parameters
In this paper, we developed a parametric model for estimating the perceived audiovisual quality in videoconference services.
Designing a Pseudo-Random Bit Generator with a Novel 5D-Hyperchaotic System
Moreover, a data scrambling circuit is implemented to eliminate the bias effect and increase the randomness of the bitstream generated from the chaotic signals.
Energy Disaggregation using Variational Autoencoders
In this paper we address these issues and propose an energy disaggregation approach based on the variational autoencoders framework.
Measuring Disentanglement: A Review of Metrics
While many advances have been made to learn these representations, it is still unclear how to quantify disentanglement.
Multi-stage Jamming Attacks Detection using Deep Learning Combined with Kernelized Support Vector Machine in 5G Cloud Radio Access Networks
In 5G networks, the Cloud Radio Access Network (C-RAN) is considered a promising future architecture in terms of minimizing energy consumption and allocating resources efficiently by providing real-time cloud infrastructures, cooperative radio, and centralized data processing.
Bag-Level Aggregation for Multiple Instance Active Learning in Instance Classification Problems
In such cases, active learning (AL) can reduce labeling costs for training a classifier by querying the expert to provide the labels of most informative instances.
Multiple Instance Learning: A Survey of Problem Characteristics and Applications
Multiple instance learning (MIL) is a form of weakly supervised learning where training instances are arranged in sets, called bags, and a label is provided for the entire bag.
Feature Learning from Spectrograms for Assessment of Personality Traits
The number of features, and difficulties linked to the feature extraction process are greatly reduced as only one type of descriptors is used, for which the 6 parameters can be tuned automatically.
