Search Results for author:
Found 7 papers, 1 papers with code
TensorAnalyzer: Identification of Urban Patterns in Big Cities using Non-Negative Tensor Factorization
Extracting relevant urban patterns from multiple data sources can be difficult using classical clustering algorithms since we have to make a suitable setup of the hyperparameters of the algorithms and deal with outliers.
Calibrate: Interactive Analysis of Probabilistic Model Output
Calibrate constructs a reliability diagram that is resistant to drawbacks in traditional approaches, and allows for interactive subgroup analysis and instance-level inspection.
Topological Representations of Local Explanations
Furthermore, due to the stochastic nature of some explainability methods, it is possible for different runs of a method to produce contradictory explanations for a given observation.
0-dimensional Homology Preserving Dimensionality Reduction with TopoMap
This note presents TopoMap, a novel dimensionality reduction technique which provides topological guarantees during the mapping process.
TopoMap: A 0-dimensional Homology Preserving Projection of High-Dimensional Data
With very few exceptions, projection techniques are designed to map data from a high-dimensional space to a visual space so as to preserve some dissimilarity (similarity) measure, such as the Euclidean distance for example.
GLoG: Laplacian of Gaussian for Spatial Pattern Detection in Spatio-Temporal Data
The proposed filter is able to reveal interesting spatial patterns while still enabling the definition of entropy of time slices.
Graphics
Laplacian Coordinates for Seeded Image Segmentation
Seed-based image segmentation methods have gained much attention lately, mainly due to their good performance in segmenting complex images with little user interaction.
