Daniel Maximin, Tu, c’est l’enfance

Maximin Correlation

This paper is concerned with the problem of finding a vector from a given set in a Euclidean space that maximizes the worst-case correlation with vectors in this set, where ‘worst’ means smallest. This problem, called the maximin correlation problem (MCP), comes up in several disciplines including pattern classification, portfolio selection, statistics, and signal processing. With a general inf...

Quantitative CEST with BIRDS

D. Coman, G. Kiefer, D. L. Rothman, D. A. Sherry, and F. Hyder Diagnostic Radiology, Yale University, New Haven, CT, United States, Quantitative Neuroscience with Magnetic Resonance (QNMR), Yale University, New Haven, CT, United States, Macrocyclics, Dallas, TX, United States, Diagnostic Radiology and Biomedical Engineering, Yale University, New Haven, CT, United States, Advanced Imaging Resear...

Maximin Separation Probability Clustering

This paper proposes a new approach for discriminative clustering. The intuition is, for a good clustering, one should be able to learn a classifier from the clustering labels with high generalization accuracy. Thus we define a novel metric to evaluate the quality of a clustering labeling, named Minimum Separation Probability (MSP), which is a lower bound of the generalization accuracy of a clas...

Über stochastische Maximin-Fixpunktgleichungen

Approximate Maximin Distance