Grant: Discovery Grants Program - Individual
University of Manitoba
$52,000.00
Machine Learning for Signal Analysis and System Modeling: Sparse and Event Driven Strategies
FY 2021-22
Summary
computational symmetry; large-scale learning problems; machine learning; signal-image analysis; signal sampling and recovery; sparse modelling; structural change detection; system modelling
Program
Discovery Grants Program - Individual
Recipient
Location
Manitoba, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
RGPIN-2017-05939
Name nom
Pawlak, Miroslaw
Department département
Electrical & Computer Engineering
Organization id
19
Institution établissement
University of Manitoba
Province en
Manitoba
Province fr
Manitoba
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2021
Competition year année de concours
2017
Award amount
52000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1507
Committee name en
Computer Science
Committee name fr
Sciences informatiques
Area of application code
802
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Information systems and technology
Area of application fr
Systèmes d'information et technologie de l'information
Research subject code
2805
Research subject group en
Artificial intelligence
Research subject group fr
Intelligence artificielle
Research subject en
Learning and inference theories
Research subject fr
Théories de l'apprentissage et l'inférence
Installment
inst:5; 6
Partie
2
Nb partie
6
Application title
Machine Learning for Signal Analysis and System Modeling: Sparse and Event Driven Strategies
Keyword
NSERC
Application summary
computational symmetry; large-scale learning problems; machine learning; signal-image analysis; signal sampling and recovery; sparse modelling; structural change detection; system modelling
