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Item features play an important role in movie recommender systems, where recommendations can be generated by using explicit or implicit preferences of users on traditional features (attributes) such as tag, genre, and cast. Typically, movie features are human-generated, either editorially (e.g.,...
Person re-identification is a challenging problem in computer vision. Lots of research interest is observed in this area over the past few years. A model for complete person re-identification can prove useful in this direction. Use of convolutional neural networks for pedestrian detection can...
Authors have proposed novel multi-dimensional multi-directional mask maximum edge patterns for the bio-medical image retrieval. Standard local binary patterns encode relationship of neighbor pixels with center pixel. Local mesh patterns encode the relationship between adjacent pixels surrounding...
Content-based medical image retrieval (CBMIR) is an active field of research and a complementary decision support tool for the diagnosis of breast cancer. Current CBMIR systems employ hand-engineered image descriptors which are not effective enough at retrieval phase. Besides this drawback, the...
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