Kumaresh Krishnan

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In this paper, we propose a novel method for recognition of human actions from joint points. Our approach utilizes Long Short Term Memory (LSTM), a Recurrent Neural Network (RNN) variant to keep track of and train the network on joint information across an ordered sample of 15 frames from a video. We ensure that important properties of actions like left(More)
3 } Abstract—Data transmission even at moderate data rates through ionospheric channels is subject to impairments from severe linear distortion, fast channel time variations, dynamic propagation effects and severe fading. The overall system performance strongly depends on the effective allocation of system resources. The adequacy of the effective allocation(More)
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