Quasi-orthogonality and intrinsic dimensions as measures of learning and generalisation. | 0 | 0.34 | 2022 |
Scikit-Dimension: A Python Package for Intrinsic Dimension Estimation | 0 | 0.34 | 2021 |
FilterK: a new outlier detection method for k-means clustering of physical activity. | 0 | 0.34 | 2020 |
Robust and Scalable Learning of Complex Intrinsic Dataset Geometry via ElPiGraph. | 0 | 0.34 | 2020 |
Fractional Norms And Quasinorms Do Not Help To Overcome The Curse Of Dimensionality | 0 | 0.34 | 2019 |
Robust and scalable learning of data manifolds with complex topologies via ElPiGraph. | 1 | 0.36 | 2018 |
Automatic Short Answer Grading and Feedback Using Text Mining Methods. | 1 | 0.36 | 2018 |
How deep should be the depth of convolutional neural networks: a backyard dog case study. | 3 | 0.40 | 2018 |
SOM: Stochastic initialization versus principal components. | 6 | 0.74 | 2016 |
Data complexity measured by principal graphs. | 5 | 0.47 | 2013 |
Geometrical complexity of data approximators | 1 | 0.36 | 2013 |
Initialization of Self-Organizing Maps: Principal Components Versus Random Initialization. A Case Study | 2 | 0.38 | 2012 |