Skip to main navigation
Skip to search
Skip to main content
Technical University of Munich Home
Help & FAQ
English
Deutsch
Home
Profiles
Research units
Projects
Research output
Equipment
Prizes
Activities
Press/Media
Search by expertise, name or affiliation
Classification systems based on neural networks
Josef A. Nossek
, Robert Eigenmann
, Georgios Papoutsis
,
Wolfgang Utschick
Chair of Circuit Theory and Signal Processing (2008 — 2021)
Chair of Signal Processing
Technical University of Munich
Research output
:
Contribution to conference
›
Paper
›
peer-review
2
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Classification systems based on neural networks'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Classification Problem
50%
Classification System
100%
Handwritten Character Recognition
50%
Input Vector
50%
Intermediate Output
50%
Multi-class Classification
50%
Neural Network
100%
Original Problem
50%
Problem Recognition
50%
Real-world Application
50%
Reference Space
50%
Systems-based
100%
Two-class Classification
50%
Universal Machine
50%
Computer Science
Character Recognition
50%
Class Classification
50%
Classification Problem
50%
Convolutional Neural Network
100%
Multi Class Classification
50%
Multiclass Classification
50%
Neural Network
100%
Recognition Problem
50%
Engineering
Character Recognition
50%
Classification Problem
50%
Convolutional Neural Network
100%
Input Vector
50%
Life Application
50%
Multiclass Classification
50%
Real Life
50%
Recognition Problem
50%
Mathematics
Classification Problem
50%
Convolutional Neural Network
100%
Input Vector
50%
Neural Network
100%
Real Life
50%
Universal Machine
50%