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Found 5 papers, 0 papers with code
Contrastive predictive coding for Anomaly Detection in Multi-variate Time Series Data
Next, the latent representations for the succeeding instants obtained through non-linear transformations of these context vectors, are contrasted with the latent representations of the encoder for the multi-variables such that the density for the positive pair is maximized.
Knowledge Capture and Replay for Continual Learning
Deep neural networks have shown promise in several domains, and the learned data (task) specific information is implicitly stored in the network parameters.
Classify and Generate: Using Classification Latent Space Representations for Image Generations
Utilization of classification latent space information for downstream reconstruction and generation is an intriguing and a relatively unexplored area.
FaultNet: Faulty Rail-Valves Detection using Deep Learning and Computer Vision
In this paper, a multi-phase deep learning based technique is proposed to perform accurate fault detection of rail-valves.
Identifiability of the Simplex Volume Minimization Criterion for Blind Hyperspectral Unmixing: The No Pure-Pixel Case
In blind hyperspectral unmixing (HU), the pure-pixel assumption is well-known to be powerful in enabling simple and effective blind HU solutions.
