Sign language recognition based on intelligent glove using machine learning techniques
We present an intelligent electronic glove system able to detect numbers of sign language in
order to automate the process of communication between a deaf-mute person and others …
order to automate the process of communication between a deaf-mute person and others …
Interactive information visualization models: a systematic literature review
Interactive information visualization models aim to make dimensionality reduction (DR)
accessible to non-expert users through interactive visualization frameworks. This systematic …
accessible to non-expert users through interactive visualization frameworks. This systematic …
Intelligent system for identification of wheelchair user's posture using machine learning techniques
This paper presents an intelligent system aimed at detecting a person's posture when sitting
in a wheelchair. The main use of the proposed system is to warn an improper posture to …
in a wheelchair. The main use of the proposed system is to warn an improper posture to …
Prototype reduction algorithms comparison in nearest neighbor classification for sensor data: Empirical study
This work presents a comparative study of prototype selection (PS) algorithms. Such a study
is done over data-from-sensor acquired by an embedded system. Particularly, five …
is done over data-from-sensor acquired by an embedded system. Particularly, five …
Neighborhood criterion analysis for prototype selection applied in WSN data
PD Rosero-Montalvo… - 2017 international …, 2017 - ieeexplore.ieee.org
The present work presents an analysis of the neighborhood criterion for the prototype
selection (PS) in supervised machine learning classification algorithms. To do this, we use …
selection (PS) in supervised machine learning classification algorithms. To do this, we use …
Data visualization using interactive dimensionality reduction and improved color-based interaction model
This work presents an improved interactive data visualization interface based on a mixture of
the outcomes of dimensionality reduction (DR) methods. Broadly, it works as follows: The …
the outcomes of dimensionality reduction (DR) methods. Broadly, it works as follows: The …
Introducing the concept of interaction model for interactive dimensionality reduction and data visualization
This letter formally introduces the concept of interaction model (IM), which has been used
either directly or tangentially in previous works but never defined. Broadly speaking, an IM …
either directly or tangentially in previous works but never defined. Broadly speaking, an IM …
Interactive visualization interfaces for big data analysis using combination of dimensionality reduction methods: a brief review
Abstract The Big Data analysis allows to generate knowledge based on mathematical
models that surpass human capabilities, and therefore it is necessary to have robust …
models that surpass human capabilities, and therefore it is necessary to have robust …
A novel color-based data visualization approach using a circular interaction model and dimensionality reduction
Dimensionality reduction (DR) methods are able to produce low-dimensional
representations of an input data sets which may become intelligible for human perception …
representations of an input data sets which may become intelligible for human perception …
[LIVRE][B] Advances in Near-Field to Blind Far-Field Ptychography, and Compressed Classification from Phaseless Measurements
MP Roach - 2023 - search.proquest.com
Chapter 1 initially concerns the introduction of Fourier Phase Retrieval. In many imaging
systems, one can only measure the magnitude-square of the Fourier transform of the …
systems, one can only measure the magnitude-square of the Fourier transform of the …