Texas State University
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Efficient Multi-GPU K-means Clustering
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DEEP NEURAL NETWORK REPRESENTATIONS OF PHYSIOLOGICAL TIME-SERIES SENSOR DATA FOR IMPROVED RECOGNITION PERFORMANCE
Mitigating the Effects of Label Noise in Time-Series Sensor Data Using Deep Feature Extraction
Fall Detection Using Federated Learning for Model Personalization and Anomaly Detection
Reducing Training Cost and Improving Inference Speed Through Neural Network Compression
Join our Meta Engineer in Residence for this in-depth workshop series
List of Computer Science scholarships currently available using BOSS.
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