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Found 4 papers, 1 papers with code
RaPP: Novelty Detection with Reconstruction along Projection Pathway
We show that if we feed a reconstructed input to the same autoencoder again, its activated values in a hidden space are equivalent to the corresponding reconstruction in that hidden space given the original input.
Semi-supervised Learning with Deep Generative Models for Asset Failure Prediction
This work presents a novel semi-supervised learning approach for data-driven modeling of asset failures when health status is only partially known in historical data.
Multi-dimensional Parametric Mincuts for Constrained MAP Inference
We show how this constrained discrete optimization problem can be formulated as a multi-dimensional parametric mincut problem via its Lagrangian dual, and prove that our algorithm isolates all constraint instances for which the problem can be solved exactly.
Efficient Energy Minimization for Enforcing Statistics
However, for many computer vision problems, the MAP solution under the model is not the ground truth solution.
