1 citations · 3 across the 4 of their papers we have counts for
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Maximum Entropy Linear Manifold for Learning Discriminative Low-dimensional Representation
Wojciech Marian Czarnecki, Rafał Józefowicz, Jacek Tabor
Representation learning is currently a very hot topic in modern machine learning, mostly due to the great success of the deep learning methods. In particular low-dimensional repres…
Extreme Entropy Machines: Robust information theoretic classification
Wojciech Marian Czarnecki, Jacek Tabor
Most of the existing classification methods are aimed at minimization of empirical risk (through some simple point-based error measured with loss function) with added regularizatio…
Cluster based RBF Kernel for Support Vector Machines
Wojciech Marian Czarnecki, Jacek Tabor
In the classical Gaussian SVM classification we use the feature space projection transforming points to normal distributions with fixed covariance matrices (identity in the standar…