Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Haythem Balti"'
Autor:
Kimberly A. Weiss, Haythem Balti
Learn the most important SQL skills and apply them in your job—quickly and efficiently! SQL (Structured Query Language) is the modern language that almost every relational database system supports for adding data, retrieving data, and modifying dat
Autor:
Haythem Balti, Kimberly A. Weiss
Tackle GoLang with practical and employment-focused instruction In Job Ready Go, software education guru Dr. Haythem Balti delivers an essential and hands-on guide to Go, an open-source programming language developed by Google engineers to combine th
Autor:
Haythem Balti, Kimberly A. Weiss
Get ready to take on Python with a practical and job-focused guide Job Ready Python offers readers a straightforward and elegant approach to learning Python that emphasizes hands-on and employable skills you can apply to real-world environments
Autor:
Haythem Balti, Alan Galloway
Prepare yourself to take on new and exciting Java programming challenges with this one-stop resource Job Ready Java delivers a comprehensive and foundational approach to Java that is immediately applicable to real-world environments. Based on the h
Autor:
Haythem Balti, Adel Elmaghraby
Publikováno v:
ISCC
We propose a framework for speech emotion analysis that maps sequential acoustic features into descriptors that integrate the temporal ordering of the original features and the discrimination between emotions. Using the topology preserving property o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e3fadc305e047fd800732cdb4a93368
https://doi.org/10.1109/iscc.2014.6912616
https://doi.org/10.1109/iscc.2014.6912616
Autor:
Haythem Balti, Adel Elmaghraby
Publikováno v:
ISSPIT
We propose a framework for speech emotion detection that maps acoustic features into high level descriptors that integrates time context. Our framework uses three different algorithms to integrate the temporal context. The first method is based on te
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a2147db999309d651175b2fef0d20ae
https://doi.org/10.1109/isspit.2013.6781926
https://doi.org/10.1109/isspit.2013.6781926
Autor:
Haythem Balti, Hichem Frigui
Publikováno v:
ICMLA (1)
We propose a feature level fusion that is based on mapping the original low-level audio features to histogram descriptors. Our mapping is based on possibilistic membership functions and has two main components. The first one consists of clustering ea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c046d0ca3b82379e497fc3fd5b2b5d4a
https://doi.org/10.1109/icmla.2012.59
https://doi.org/10.1109/icmla.2012.59