Abstract: The study introduces an effective stress classification framework using the Vanilla Transformer encoder architecture to examine multi-channel physiological sensor time series data. The ...
Machine Learning as a Service (MLaaS) APIs provide ready-to-use and high-utility encoders that generate vector representations for given inputs. Since these encoders are very costly to train, they ...
Abstract: How should we integrate representations from complementary sensors for autonomous driving? Geometry-based fusion has shown promise for perception (e.g., object detection, motion forecasting) ...
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