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Showing 1 to 5 of 5 for “"Temporal Encoder"”.

  1. A two channel spatio-temporal encoder

    Thesis (B.S.)-Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1988.

    mit Repository record for A two channel spatio-temporal encoder (opens in a new tab)

  2. A Temporal Encoder-Decoder Approach to Extracting Blood Volume Pulse Signal Morphology from Face Videos

    … We present a new approach that is inspired by temporal encoder-decoder architectures that have been used for audio signal separation. As input, this system accepts a temporal sequence of RGB (red, green, blue) values that have been spatially averaged over a small portion of the face. The output …

    vt Repository record for A Temporal Encoder-Decoder Approach to Extracting Blood Volume Pulse Signal Morphology from Face Videos (opens in a new tab)

  3. Extraction of Blood Volume Pulse Morphology from Facial Videos Using an LSTM-Based Temporal Encoder-Decoder Model

    This thesis introduces a method for extracting blood volume pulse (BVP) signals from facial videos, moving beyond basic heart rate estimation to capture full pulse waveforms. Our approach adapts techniques from audio signal separation and applies them to video, using a machine learning model …

    vt Repository record for Extraction of Blood Volume Pulse Morphology from Facial Videos Using an LSTM-Based Temporal Encoder-Decoder Model (opens in a new tab)

  4. Multimodal Learning for Disease Diagnosis and Progression Modeling

    … modeling, we propose a Multimodal Supervised Temporal Encoder Joint Modeling network (MSTE-JM) that uses a supervised temporal encoder to learn compact multimodal representations, which are subsequently incorporated into a Bayesian joint model linking longitudinal cognitive measurements with …

    chapman Repository record for Multimodal Learning for Disease Diagnosis and Progression Modeling (opens in a new tab)

  5. Design and Optimization of Temporal Encoders using Integrate-and-Fire and Leaky Integrate-and-Fire Neurons

    … it can encode signals directly using analog temporal encoders from Spiking Neural Networks (SNNs). These encoders receive an analog signal as an input and generate a spike or spike trains as their output. The proposed temporal encoders use latency and Inter-Spike Interval (ISI) encoding and …

    vt Repository record for Design and Optimization of Temporal Encoders using Integrate-and-Fire and Leaky Integrate-and-Fire Neurons (opens in a new tab)