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Deep Neural Networks Under
(IEEENew York, 2016)
Feature extraction based on bio-inspired model for robust emotion recognition
(Springer Heidelberg, 2016-03)
Emotional state identification is an important issue to achieve more natural speech interactive systems. Ideally, these systems should also be able to work in real environments in which generally exist some kind of noise. ...
A robust design for a Colombian dairy cooperative's milk storage and refrigeration logistics system using binary programming
(International Journal of Production Economics, 2017-01)
This article describes a robust design for a milk storage and refrigeration logistics system for a dairy cooperative located in the Ubaté region of Colombia using a binary programming model. Such design included cooling ...
Robust features in deep-learning-based speech recognition
(Springer Nature Switzerland AG, 2017)
Recent progress in deep learning has revolutionized speech recognition research, with Deep Neural Networks (DNNs) becoming the new state of the art for acoustic modeling. DNNs offer significantly lower speech recognition ...
Scan-to-map matching using the Hausdorff distance for robust mobile robot localization
(IEEE, 2008)
This paper presents a robust method for localization of mobile robots in environments that may be cluttered and that not necessarily have a polygonal structure. The estimation of the position and orientation of the robot ...
Deep Texture Features for Robust Face Spoofing Detection
(2017-12-01)
Biometric systems are quite common in our everyday life. Despite the higher difficulty to circumvent them, nowadays criminals are developing techniques to accurately simulate physical, physiological, and behavioral traits ...
MathFeature: feature extraction package for DNA, RNA and protein sequences based on mathematical descriptors
(2022-01-17)
One of the main challenges in applying machine learning algorithms to biological sequence data is how to numerically represent a sequence in a numeric input vector. Feature extraction techniques capable of extracting ...