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Start Over Area of Honors Computer Engineering Year 2018 Thesis Supervisor John Morgan Sampson

4. HYBRID NETWORK OF HANDCRAFTED AND NON-HANDCRAFTED FEATURES FOR COMPUTER VISION CLASSIFICATION TASKS

open_access
Open Access
Author:
Protivash, Prottay
Title:
HYBRID NETWORK OF HANDCRAFTED AND NON-HANDCRAFTED FEATURES FOR COMPUTER VISION CLASSIFICATION TASKS
Area of Honors:
Computer Engineering
Keywords:
CNN
Machine Learning
Hybrid Network
Handcrafted Features
File:
Download Protivash_Prottay_HYBRID_CNN.pdf
Thesis Supervisors:
John Morgan Sampson, Thesis Supervisor
Dr. Vijaykrishnan Narayanan, Thesis Honors Advisor

5. THE ACCURACY OF RHYTHM RECOGNITION WITH CONVOLUTIONAL NEURAL NETWORKS ON TRUENORTH PROCESSOR

open_access
Open Access
Author:
Galante, Eric Andrew
Title:
THE ACCURACY OF RHYTHM RECOGNITION WITH CONVOLUTIONAL NEURAL NETWORKS ON TRUENORTH PROCESSOR
Area of Honors:
Computer Engineering
Keywords:
Convolutional Neural Networks
TrueNorth
Rhythm Recognition
File:
Download Thesis_EGalante_PSU_CMPEN_2018_b.pdf
Thesis Supervisors:
Dr. Vijaykrishnan Narayanan, Thesis Supervisor
Dr. Vijaykrishnan Narayanan, Thesis Honors Advisor
John Morgan Sampson, Faculty Reader