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Fast Digital Locally Monotonic Regression
(1995)
In [1], Restrepo and Bovik developed an elegant mathematical framework in which they studied locally monotonic regressions in RN . The drawback is that the complexity of their algorithms is exponential in N. In this paper, ...
Mathematical Programming Algorithms for Regression-based Nonlinear Filtering in IRN
(1997)
Constrained regression problems appear in the context of optimal nonlinear filtering, as well as in a variety of other contexts, e.g., chromatographic analysis in chemometrics and manufacturing, and spectral estimation. ...
Further Results on MAP Optimality and Strong Consistency of Certain Classes of Morphological Filters
(1994)
In two recent papers [1], [2], Sidiropoulos et al. have obtained statistical proofs of Maximum A Posteriori} (MAP) optimality and strong consistency of certain popular classes of Morphological filters, namely, Morphological ...
Recovering Information from Summary Data
(1997)
Data is often stored in summarized form, as a histogram of aggregates (COUNTs,SUMs, or AVeraGes) over specified ranges. Queries regarding specific values, or ranges different from those stored, cannot be answered exactly ...
Recovering Information from Summary Data
(1997)
Data is often stored in summarized form, as a histogram of aggregates (COUNTs,SUMs, or AVeraGes) over specified ranges. Queries regarding specific values, or ranges different from those stored, cannot be answered exactly ...