descriptor

[di′skrip·tər]

(computer science)

A word or phrase used to identify a document in a computer-based information storage and retrieval system.

descriptor

(operating system)

An integer, string or other small data value which refers to one of several objects allocated to a program by the operating system, usually the kernel. A common example is a Unix file descriptor which is a small integer that identifies an I/O channel. Another example is a reference to an area of memory (e.g. shared memory).

Compare capability.

This article is provided by FOLDOC - Free Online Dictionary of Computing (foldoc.org)

descriptor

(1) A word or phrase that identifies a document in an indexed information retrieval system.

(2) A category name used to identify data.

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References in periodicals archive

One common finding when assessing lung cancer on CT scans is lymphangitis carcinomatosis, a descriptor not included in neither the 7th TNM staging system nor the 8th edition.

The new 8th TNM staging system of lung cancer and its potential imaging interpretation pitfalls and limitations with CT image demonstrations

The higher positive correlation coefficient of inertia moment with permeability data and the high t-values (t-values define the statistical significance of a descriptor) suggest that the orientation behavior with respect to the size of whole molecule is of utmost importance in the binding interaction with the receptor site as well as in imparting greater permeability.

Quantitative Structure-Activity Relationship Analysis of Selective Rho Kinase Inhibitors as Neuro-regenerator Agents/Noro-rejenerator Ajan Olarak Secici Rho Kinaz Inhibitorlerinin Kantitatif Yapi-Etkinlik Iliski Analizi

There are several parameters for the proposed descriptor, including the histogram weight, v, as used in Eq.

Person-Independent Facial Expression Recognition with Histograms of Prominent Edge Directions

Any class, subclass, or individual descriptor scored as 0.25, 0.50, or 0.75 was considered to have some uncertainty.

Reproducibility and Feasibility of Strategies for Morphologic Assessment of Renal Biopsies Using the Nephrotic Syndrome Study Network Digital Pathology Scoring System

A combination of a support vector machine (SVM) and oscillating search (OS) algorithms for feature selection was adopted to select the most appropriate descriptors. The application was optimized to obtain an SVM model to predict the biological activity EC50 of the HEPT derivatives with a minimum number of descriptors (SpMax4_Bh (e) MLOGP MATS5m) and high values of R2 and Q2 (0.8662, 0.8769).

A nonlinear QSAR Study Using Oscillating Search and SVM as an Efficient Algorithm to Model the Inhibition of Reverse Transcriptase by HEPT Derivatives

Thus, there is a nice agreement between the results describing the local reactivity of the dansylglycine molecule provided by Fukui functions, dual descriptor [DELTA]f (or its condensed counterpart), and the Parr functions.

Local Molecular Reactivity of the Colored Dansylglycine in Water and Dioxane Studied through Conceptual DFT

In this paper, we study the stabilization of a class of descriptor fractional-order systems with the fractional-order [alpha], 1 [less than or equal to] [alpha] < 2, in terms of LMIs.

A New Sufficient Condition for Checking the Robust Stabilization of Uncertain Descriptor Fractional-Order Systems

Degree of Contribution of Selected Descriptors. Contribution of each descriptor in the model was measured by calculating their standardized regression coefficients ([b.sup.s.sub.j] using (6).

QSAR Modeling and Molecular Docking Analysis of Some Active Compounds against Mycobacterium tuberculosis Receptor (Mtb CYP121)

Some of this literature that looks at the language of performance descriptors focuses on the content of the rubrics.

DIFFERENCES ACROSS LEVELS IN THE LANGUAGE OF AGENCY AND ABILITY IN RATING SCALES FOR LARGE-SCALE SECOND LANGUAGE WRITING ASSESSMENTS

The features are extracted based on pixels values and it is compared with the feature descriptor. The pixels from each partition are taken to compute the average value of the groups.

Redundant bit based classification for large scale images

It is beneficial for most of the existing descriptors used for action recognition.

Representation for Action Recognition Using Trajectory-Based Low-Level Local Feature and Mid-Level Motion Feature