publication . Doctoral thesis . 2017

Towards The Deep Model : Understanding Visual Recognition Through Computational Models

Wang, Panqu;
Open Access English
  • Published: 01 Jan 2017
  • Publisher: eScholarship, University of California
  • Country: United States
Abstract
Understanding how visual recognition is achieved in the human brain is one of the most fundamental questions in vision research. In this thesis I seek to tackle this problem from a neurocomputational modeling perspective. More specifically, I build machine learning-based models to simulate and explain cognitive phenomena related to human visual recognition, and I improve computational models using brain-inspired principles to excel at computer vision tasks.I first describe how a neurocomputational model (“The Model”, TM, (Cottrell & Hsiao, 2011)) can be applied to explain the modulation of visual experience on the performance of subordinate-level face and object...
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Subjects
free text keywords: Computer science, Cognitive psychology, Electrical engineering, computational modeling, deep learning, machine learning, neural network, object recognition, vision
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eScholarship - University of California
Doctoral thesis . 2017
Provider: eScholarship - University of California
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