Abstract: This paper proposes to employ deep learning model to encode local descriptors for image classification. Previous works using deep architectures to obtain higher representations are often ...

Or, if you prefer, you can use the "Download Zip" button available through the main repository page. Downloading the project as a .ZIP file will keep the size of the ...

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Optimise your Android Studio builds, by creating generated projects. Inspired by GradleBuildExperiment. A tool to generate real life Java and Kotlin Android projects to analyze and improve build times ...

Abstract: Recent research trends in the field image processing have focussed on challenges and few techniques for processing and classification tasks related to it. Image classification aims at ...

The number of things we can do on a smartphone has grown exponentially over the past few years. This applies also to image editing on phones. From only being able to crop or perform basic editing, we ...

[Click on image for larger view.] Figure 1: Predicting Student Major Multi-Class Classification in Action The demo trains the neural network for 1,000 epochs in batches of 10 items. An epoch is one ...

Dr. James McCaffrey of Microsoft Research tackles how to define a network in the second of a series of four articles that present a complete end-to-end production-quality example of binary ...