Edwin Pitzpatrick, Palindromist

It is generally agreed among logologists (and more general critics of literature) that Edwin Fitzpatrick is the greatest palindromist of modern times--and that he is, in fact, the only one who consistently elevated this apparently restrictive genre into work whose unlabored eloquence have more to do with lyrical and mystical poetry than the mere mechanics of a verbal tricksterism. He was able to compose full-length novels and plays in strictly symmetrical palindromes and, as we shall see, felt himself no more hampered in his verbal and grammatical choices than would any more original writer in the language

Brand Name Palindromes

In 1844 a group of eleven school teachers discovered a small waterfall near Ellenville, New York and agreed to give it a name by reversing the number of their party. The Nevele Hotel, founded in 1911, now includes Nevele Falls on its property, with a plaque permanently recording the history of its name. Stories like these are, of course, extraordinary, but there exist a good many other brand names and company names which are either palindromes or are based on similar word reversals

Notes on Palindromes

Outside of Sotades, the inventor of the form, the greatest palindromist in history may well be the late-Victorian poet Edwin Fitzpatrick, now principally remembered for his translation of Omar Khayyam which he entitled The Rubaiyat of Charades and Palindromes . Although his rendering has been termed eccentrick and even obscure by some, there is little doubt that he remained faithful both to the Tentmaker\u27s rigid use of quatrains and his highly phantasmagorial sense of imagery

Opusopuscule

This article contains excerpts from Opusopuscule , a logological commonplace book containing a mixture of book, newspaper and magazine quotations, song lyrics, proverbs, odd signs in public places, jokes and anecdotes, and original snippets of wordplay. Examples of the latter are given in this article, with editorial commentary provided in italics

Training and Pruning Fruit Trees

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Subspace-Clustering-Based Multispectral Image Compression

This paper describes a subspace clustering strategy for the spectral compression of multispectral images. Unlike standard PCA, this approach finds clusters in different subspaces of different dimension. Consequently, instead of representing all spectra in a single low-dimensional subspace of a fixed dimension, spectral data are assigned to multiple subspaces having a range of dimensions from one to eight. For a given compression ratio, this tradeoff reduces the maximum reconstruction error dramatically. In the case of compressing multispectral images, this initial compression step is followed by lossless JPEG2000 compression in order to remove the spatial redundancy in the data as well

Gaussian Illuminants and Reflectances for Colour Signal Prediction

An alternative to the von Kries scaling underlying the chromatic adaptation transforms found in colour appearance models such as CIECAM02 is suggested for predicting what the colour signal (e.g., XYZ) reflected from a surface under a first illuminant is likely to become when lit instead by a second illuminant. The proposed method, G2M, employs metameric Gaussian-like functions to model the illuminant and reflectance spectra. The method’s prediction is based on relighting the Gaussian-like reflectance spectrum with the second Gaussian-like illuminant. Tests show that the proposed G2M method significantly outperforms CIECAT02