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Journal ArticleDOI
Surprise: A Python library for recommender systems
TL;DR: Recommender systems aim at providing users with a list of recommendations of items that a service offers, for example, a video streaming service will typically rely on a recommender system to propose a personalized list of movies or series to each of its users.
Book
Hierarchical Neural Networks for Image Interpretation
TL;DR: The results show clear trends in the direction of improvement in the level of supervised learning in relation to the recognition of meter values and in the application of Matrix Codes.
Journal ArticleDOI
Structured Sparse Method for Hyperspectral Unmixing
TL;DR: Wang et al. as mentioned in this paper proposed a Structured Sparse regularized nonnegative matrix factorization (SS-NMF) method based on graph Laplacian to encode the manifold structures embedded in the hyperspectral data space.
Proceedings ArticleDOI
Neural Rating Regression with Abstractive Tips Generation for Recommendation
TL;DR: A deep learning based framework named NRT is proposed which can simultaneously predict precise ratings and generate abstractive tips with good linguistic quality simulating user experience and feelings.
Journal ArticleDOI
An analysis of facial expression recognition under partial facial image occlusion
TL;DR: The way partial occlusion affects human observers when recognizing facial expressions is indicated and conclusions regarding the pairs of facial expressions misclassifications that each type of Occlusion introduces are drawn.
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