Hashing with Angular Reconstructive Embeddings.
IEEE Transactions on Image Processing(2018)
Abstract
Large-scale search methods are increasingly critical for many content-based visual analysis applications, among which hashing-based approximate nearest neighbor search techniques have attracted broad interests due to their high efficiency in storage and retrieval. However, existing hashing works are commonly designed for measuring data similarity by the Euclidean distances. In this paper, we focus...
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Key words
Binary codes,Image reconstruction,Hypercubes,Linear programming,Quantization (signal),Data structures,Three-dimensional displays
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