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Found 5 papers, 0 papers with code
Recognizing Complex Gestures on Minimalistic Knitted Sensors: Toward Real-World Interactive Systems
This technique increases their robustness and usability, while shifting the complexity of enabling interactivity from the hardware to computational models.
Sparse Super-Regular Networks
Super-regular networks (SRNs) are neural networks composed of a set of stacked sparse layers of (epsilon, delta)-super-regular pairs, and randomly permuted node order.
Secure SURF with Fully Homomorphic Encryption
Cloud computing is an important part of today's world because offloading computations is a method to reduce costs.
Neural Networks with Manifold Learning for Diabetic Retinopathy Detection
Our experimental results show that neural networks in combination with preprocessing on the images can boost the classification accuracy on this dataset.
Item Popularity Prediction in E-commerce Using Image Quality Feature Vectors
In this paper we use a set of image features that indicate quality to predict product listing popularity on a major e-commerce website, Etsy.
