Abstract: This paper proposes a direct model for conditional probability density forecasting of residential loads, based on a deep mixture network. Probabilistic residential load forecasting can ...
Abstract: This paper proposes a unified multi-modal image generation method to address two critical challenges in visible-infrared (VI) person re-identification (ReID): the insufficiency of training ...
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