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Determinantal probability measures

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arxiv math/0204325 v4 pith:ENIRJKBH submitted 2002-04-26 math.PR math.CO

classification math.PRmath.CO
keywords determinantalmatroidsresultsareasarisenaspectsassociationavenues
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Determinantal point processes have arisen in diverse settings in recent years and have been investigated intensively. We study basic combinatorial and probabilistic aspects in the discrete case. Our main results concern relationships with matroids, stochastic domination, negative association, completeness for infinite matroids, tail triviality, and a method for extension of results from orthogonal projections to positive contractions. We also present several new avenues for further investigation, involving Hilbert spaces, combinatorics, homology, and group representations, among other areas.

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  1. MASCOT: Model-Aware Submodular Coverage for Composite-Attribute Text-to-Image Retrieval

    cs.MM 2026-08 conditional novelty 6.0 of 10

    On composite geography-plus-hour diversity-decrease retrieval, a submodular coverage re-ranker with query-weighted soft bins retains R@10=0.94 versus 0.49 for the manifold-based MS-DPP baseline.

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