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Found 4 papers, 0 papers with code
Collision Cross-entropy for Soft Class Labels and Deep Clustering
We propose "collision cross-entropy" as a robust alternative to Shannon's cross-entropy (CE) loss when class labels are represented by soft categorical distributions y.
Discriminative Entropy Clustering and its Relation to K-means and SVM
Maximization of mutual information between the model's input and output is formally related to "decisiveness" and "fairness" of the softmax predictions, motivating these unsupervised entropy-based criteria for clustering.
Confluent Vessel Trees with Accurate Bifurcations
We are interested in unsupervised reconstruction of complex near-capillary vasculature with thousands of bifurcations where supervision and learning are infeasible.
Divergence Prior and Vessel-tree Reconstruction
We propose a new geometric regularization principle for reconstructing vector fields based on prior knowledge about their divergence.
