arXiv Machine Learning July 13, 2026 By Ofir Kruzel, Itzik Klien

Data-Efficient Deep Learning: Empirical Guidelines for Training Set Size Estimation in Inertial Sensor Classification

Read the original on arXiv Machine Learning →

arXiv:2607. 09402v1 Announce Type: new Abstract: Deep learning models dependency on large-scale inertial datasets presents a significant bottleneck in inertial sensor-based classification tasks, such as human activity recognition and smartphone location recognition.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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