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About 10,000 papers for “height”

Height and Height Velocity

John Buckler · 1990

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Homotopy height, grid-major height and graph-drawing height

Thérèse Biedl, Erin Wolf Chambers, Eppstein, David et al. · arXiv (Cornell University) · 2019

It is well-known that both the pathwidth and the outer-planarity of a graph\ncan be used to obtain lower bounds on the height of a planar straight-line\ndrawing of a graph. But both bounds fall short for some graphs. In this paper,\nwe consider two other parameters, the (simple) homotopy height and the (simple)\ngrid-major height. We discuss the relationship between them and to the other\nparameters, and argue that they give lower bounds on the straight-line drawing\nheight that are never worse than the ones obtained from pathwidth and\nouter-planarity.\n

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Homotopy Height, Grid-Major Height and Graph-Drawing Height

Thérèse Biedl, Erin Wolf Chambers, David Eppstein et al. · Lecture notes in computer science · 2019

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Chimney Height (Stack Height), Effective

Jack G. Calvert · IUPAC Standards Online · 2016

Over 620 atmospheric chemistry terms which are in common use by the international research community in the atmospheric sciences are defined. The diversified nature of the scientists involved in research in atmospheric chemistry (chemists, meteorologists, physicists, biologists, engineers, and others) requires that special attention be paid to the consistency of the terminology employed. Where alternative terms are in common use to describe a given process, piece of equipment, feature, or quantity used in atmospheric chemistry, recommended choices of the IUPAC Commission on Atmospheric Chemistry are given; these are consistent with the other IUPAC publications and recommendations on nomenclature. The range of terms includes composition of the atmosphere, clouds, solar radiation, chemical and physical changes in atmospheric components, instrumentation employed in analysis of the atmospheric components and in air quality control, and in effects of certain trace gases on materials, plants, and animals.

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HEIGHT OF HEIGHT-BALANCED TREES

Fabrizio Luccio, Linda Pagli · 1976

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Theta height and Faltings height

Fabien Pazuki · arXiv (Cornell University) · 2009

Using original ideas from J.-B. Bost and S. David, we provide an explicit comparison between the Theta height and the stable Faltings height of a principally polarized abelian variety. We also give as an application an explicit upper bound on the number of K-rational points of a curve of genus g>1 over a number filed K under a conjecture of S. Lang and J. Silverman. We complete the study with a comparison between differential lattice structures.

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HEIGHT OF HEIGHT-BALANCED TREES

LUCCIO F, PAGLI, LINDA · CINECA IRIS Institutial research information system (University of Pisa) · 1976

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height

2014

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Height

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Height

Americanae (AECID Library)

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height

Alexei Belov, Mikhail Kharitonov · 2014

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HEIGHT

2009

A Conditional Random Field is a mathematical model for sequences that is similar in many ways to a Hidden Markov Model, but is discriminative rather than generative in nature. Here we explore the application of the CRF model to ASR processing by building a system that performs first-pass phonetic recogintion using discriminatively trained phonetic attributes. This system achieves an accuracy level in a phone recognition task superior to that of an HMM that has been comparably trained. Phonetic Attributes • Phonetic attributes are defined via linguistic properties per the International Phonetics Association (IPA) phonetic chart • Consonants defined by their sonority, voicing, manner, and place of articulation • Vowels defined by their sonority, voicing, height, frontness, roundness and tenseness • Additional features for silence • Phonetic attributes extracted by multi-layer perceptron (MLP) neural net classifiers • Classifiers are trained on 12 th order cepstral PLP and delta coefficients derived from the speech data • Speech data is broken up into frames of 25ms, with overlapping frames starting every 10ms • Input is a vector of PLP and delta coefficients for a nine frame window, centered on the current frame, with four frames of context on either side • Each classifier outputs a series of posterior probabilities representing the probability of the attribute given the data • One probability is output for each possible attribute for that classifier for any given frame of the data • These posteriors sum to one for a given classifier MLP • Classifiers were trained using phonetically transcribed corpus • Phonetic attribute labels were derived by using the attributes provided by the IPA description of the transcribed phone (See Figure 1) • For our purposes, all phones are assumed to have their canonical values for training, and attribute boundaries occur at phonetic boundaries

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Height

Americanae (AECID Library)

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Height

2016

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height

Cgc Guangcan · Zenodo (CERN European Organization for Nuclear Research) · 2020

Elevation

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Height

Adam Moreno, Mathias Nuemann, Hubert Hasenauer · Figshare · 2016

Average height in meters of all trees in a cell.

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