Generating PDF document

Please, wait a moment

Too much time loading?
Reload the page and try again.

CYTUVA

Machine Learning and Deep Learning. High performance computing in GPU (GPU Computing)

Download PDF

Contact Information

Basic Information

  • UniversityUniversidad de Valladolid
  • Center
  • DepartmentSignal Theory and Communications and Telematics Engineering
  • Investigation GroupTelematic and Image Group (GTi)


Description

Deep Learning Specialists


Other information

Number of researchers:

5

Applicability of technology:

Yes

Other members:

Francisco Díaz Pernas
Miriam Antón Rodríguez
See more

Mario Martínez Zarzuela
David González Ortega

Photos

Videos

Other resources

Related projects

GIR - Advanced Computing Environments and Multimodal Interaction Systems (ECA-SIMM)

OBJECTIVESThis group, which began its activity in the early 1990s, originally focused its attention on basic lines of research related to Speech Recognition and Shape Recognition. As an evolution of this initial nucleus, the PROLETHA group subsequent... Read more >

Analysis of blood oxygen saturation and heart frequency for sleep apnoea-hypopnoea syndrome (SAHS) diagnosis

Analysis of blood oxygen saturation and heart frequency for sleep apnoea-hypopnoea syndrome (SAHS) diagnosis. Polysomnography is the main source of information for sleep study. Automatic analysis of cardio-respiratory night signs is very useful for d... Read more >

Machine learning

It is to be noted the SRC (Spanish acronym for Communication Services and Networks) group's work regarding the application of Artificial Intelligence and Machine Learning techniques to data manipulation/processing/mining/prediction within various fie... Read more >

AUTOMATIC LEARNING - DEEP LEARNING - DATA MINING

Applications of various machine learning techniques for solving classification and regression problems. There is experience in models whose entries range from numerical, categorical, text and images.... Read more >

This email will be sent to the technology and knowledge transfer office. In your case, it will also be sent to the researcher responsible for the chosen project.
Fields marked with * are mandatory.

I accept the Privacy Policy

CAPTCHA Image

Type the characters shown in the image on the left.

[ Different image ]

close