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A General

ACM SIGMETRICS Performance Evaluation Review, 2020
Large-scale systems are everywhere, and deciding how to dispatch an arriving job to one of the many available servers is crucial to obtaining low response time. One common scalable dispatching paradigm is the "power of d," in which the dispatcher queries d servers at random and assigns the job to a server based only on the state of the queried servers.
Jazeem Abdul Jaleel   +3 more
openaire   +1 more source

Generous Poetry Generator

American Book Review, 2014
A Critical Code Studies discussion of Nick Montfort's poetry generators, including Taroko Gorge and ...
openaire   +1 more source

FusionSeg: Learning to Combine Motion and Appearance for Fully Automatic Segmentation of Generic Objects in Videos

Computer Vision and Pattern Recognition, 2017
We propose an end-to-end learning framework for segmenting generic objects in videos. Our method learns to combine appearance and motion information to produce pixel level segmentation masks for all prominent objects in videos.
S. Jain, Bo Xiong, K. Grauman
semanticscholar   +1 more source

Improving Deep Learning with Generic Data Augmentation

IEEE Symposium Series on Computational Intelligence, 2018
Deep artificial neural networks require a large corpus of training data in order to effectively learn, where collection of such training data is often expensive and laborious.Data augmentationovercomes this issue by artificially inflating the training ...
L. Taylor, Geoff S. Nitschke
semanticscholar   +1 more source

GENERAL ENTROPY OF GENERAL MEASURES

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2002
The concept of entropy is an important part of the theory of additive measures. In this paper, a definition of entropy is introduced for general (not necessarily additive) measures as the infinum of the Shannon entropies of "subordinate" additive measures. Several properties of the general entropy are discussed and proved.
openaire   +1 more source

Generators

Periodica Mathematica Hungarica, 2002
This paper gives a brief overview of how generators are used to code measure-preserving transformations into symbolic models, and then gives a very short and neat proof of the fact that an ergodic transformation with finite entropy has a finite generator. The proof given here uses the existence of a countable generator and calls on some standard bounds
Keane, M.S., Serafin, J.
openaire   +2 more sources

Generating the Generations

2020
This chapter focuses on the idea of memory in order to understand how Jewish crafters generate memory through their creations. It studies the role of Holocaust memory in crafting, the use of heirloom fabrics in making family treasures, and the complex ways the ethnographer herself became enmeshed in networks of memory.
openaire   +1 more source

Generation to Generation

2022
This book brings together thirteen contributors from diverse backgrounds – mean and women born in Cameroon, England, Scotland, South Africa, Zambia. What they all have in common is years of service within their respective communities, working individually and within projects and programmes, with both young people and adults to build social cohesion ...
openaire   +1 more source

The Generally General Theory of Generally Relative Generality

This paper interrogates the widespread illusion of coherence in philosophy, science, technology, and culture, revealing that most systems maintain the appearance of integration through simulation, adaptation, and rhetorical flourish rather than true recursive structure.
openaire   +2 more sources

The Autism Diagnostic Observation Schedule—Generic: A Standard Measure of Social and Communication Deficits Associated with the Spectrum of Autism

Journal of Autism and Developmental Disorders, 2000
C. Lord   +7 more
semanticscholar   +1 more source

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