exemplar   93

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(350) Designing Search Suggestions - YouTube
Nielsen video - useful example of minimising cognitive load for users entering search suggestions
UX  UXD  Neilsen  video  search  suggestion  cognitive  load  exemplar 
march 2019 by pciszewski
The $300 Million Button — UX Articles by UIE
Article outlining a simple UX change that supposedly increased revenue by $300 million
UX  UXD  test  testing  exemplar  usability  "300  million" 
april 2018 by pciszewski
Examples of K-12 Class Nings « changED
Lots of examples of K-12 classroom Nings.
ning  exemplar 
june 2017 by benwildeboer
Student Handbook | Science Leadership Academy
SLA's use of a webpage to communicate information about the school.
school  webpage  exemplar 
june 2017 by benwildeboer
[1406.6909] Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks
Deep convolutional networks have proven to be very successful in learning task specific features that allow for unprecedented performance on various computer vision tasks. Training of such networks follows mostly the supervised learning paradigm, where sufficiently many input-output pairs are required for training. Acquisition of large training sets is one of the key challenges, when approaching a new task. In this paper, we aim for generic feature learning and present an approach for training a convolutional network using only unlabeled data. To this end, we train the network to discriminate between a set of surrogate classes. Each surrogate class is formed by applying a variety of transformations to a randomly sampled 'seed' image patch. In contrast to supervised network training, the resulting feature representation is not class specific. It rather provides robustness to the transformations that have been applied during training. This generic feature representation allows for classification results that outperform the state of the art for unsupervised learning on several popular datasets (STL-10, CIFAR-10, Caltech-101, Caltech-256). While such generic features cannot compete with class specific features from supervised training on a classification task, we show that they are advantageous on geometric matching problems, where they also outperform the SIFT descriptor.
papers  representation-learning  exemplar  neural-net  self-supervised  unsupervised-learning 
may 2017 by arsyed
Got to love ' approach to customers - "ring and we'll open our store for you".
retailcraft  exemplar  from twitter
may 2017 by ianjindal
La Trobe Cyber Security - Visual Playground
Uni course promo video featuring talking heads with interesting motion graphic captions for emphasis
promo  video  exemplar  talking  head  motion  graphics 
may 2017 by pciszewski

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