Learning Visual Spatial Pooling by Strong PCA Dimension Reduction
From MaRDI portal
Publication:5380541
DOI10.1162/NECO_a_00843zbMath1414.92099OpenAlexW2379789024WikidataQ50513563 ScholiaQ50513563MaRDI QIDQ5380541
Publication date: 5 June 2019
Published in: Neural Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1162/neco_a_00843
Related Items
Unsupervised 2D Dimensionality Reduction with Adaptive Structure Learning, Nonnegative Matrix Factorization with Rank Regularization and Hard Constraint
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Natural image statistics. A probabilistic approach to early computational vision.
- On stochastic approximation of the eigenvectors and eigenvalues of the expectation of a random matrix
- Neocognition: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
- Learning viewpoint invariant object representations using a temporal coherence principle
- Characterization of Minimum Error Linear Coding with Sensory and Neural Noise
- A Two-Layer Model of Natural Stimuli Estimated with Score Matching
- Slow Feature Analysis: Unsupervised Learning of Invariances
- Learning the Nonlinearity of Neurons from Natural Visual Stimuli
- Simple-Cell-Like Receptive Fields Maximize Temporal Coherence in Natural Video
- Topographic Product Models Applied to Natural Scene Statistics
- Correlation Matrix Memories
