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Found 5 papers, 3 papers with code
A Unified Theory of Diversity in Ensemble Learning
We present a theory of ensemble diversity, explaining the nature of diversity for a wide range of supervised learning scenarios.
HAWKS: Evolving Challenging Benchmark Sets for Cluster Analysis
Here, we argue that synthetic datasets must continue to play an important role in the evaluation of clustering algorithms, but that this necessitates constructing benchmarks that appropriately cover the diverse set of properties that impact clustering algorithm performance.
Hierarchical stochastic neighbor embedding as a tool for visualizing the encoding capability of magnetic resonance fingerprinting dictionaries
In Magnetic Resonance Fingerprinting (MRF) the quality of the estimated parameter maps depends on the encoding capability of the variable flip angle train.
Navigating the Landscape for Real-time Localisation and Mapping for Robotics and Virtual and Augmented Reality
Visual understanding of 3D environments in real-time, at low power, is a huge computational challenge.
Accelerating CS in Parallel Imaging Reconstructions Using an Efficient and Effective Circulant Preconditioner
Results: The designed circulant preconditioner reduces the number of iterations required in the conjugate gradient method by almost a factor of~5.
