Quadra-embedding: Binary code embedding with low quantization error
نویسندگان
چکیده
منابع مشابه
Quadra-Embedding: Binary Code Embedding with Low Quantization Error
Thanks to compact data representations and fast similarity computation, many binary code embedding techniques have been proposed for large-scale similarity search used in many computer vision applications including image retrieval. Most prior techniques have centered around optimizing a set of projections for accurate embedding. In spite of active research efforts, existing solutions suffer fro...
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Binary code learning, a.k.a., hashing, has been recently popular due to its high efficiency in large-scale similarity search and recognition. It typically maps high-dimensional data points to binary codes, where data similarity can be efficiently computed via rapid Hamming distance. Most existing unsupervised hashing schemes pursue binary codes by reducing the quantization error from an origina...
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ژورنال
عنوان ژورنال: Computer Vision and Image Understanding
سال: 2014
ISSN: 1077-3142
DOI: 10.1016/j.cviu.2014.04.007