Human goodness?

Using Human Knowledge to Judge Part Goodness: Interactive Part Selection

It is a common practice to model object detectors as collection of filters. For these detectors to be effective, it is important to select “good filters” covering most of the variation of the data. In order to achieve this, these methods invest majority of their time selecting a good subset of filters from a large pool. Good filters are less cluttered and their gradients are spatially correlate...

Ramsey goodness and beyond

In a seminal paper from 1983, Burr and Erd1⁄2os started the systematic study of Ramsey numbers of cliques vs. large sparse graphs, raising a number of problems. In this paper we develop a new approach to such Ramsey problems using a mix of the Szemerédi regularity lemma, embedding of sparse graphs, Turán type stability, and other structural results. We give exact Ramsey numbers for various clas...

Goodness of Fit

Partition - Based Goodness -

We propose a way to construct consistent generalizations of the Cram er-von Mises test on the line, and the Watson U 2 n test on the circle, based on classes of partitions invariant under various group actions. The framework developed extends our earlier work generalizing the Kolmogorov-Smirnov and Kuiper goodness-oft tests, and provides a conceptually unifying description. Many goodness-oft te...

Goodness Measures for Integration

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