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LSQ++: Lower running time and higher recall in multi-codebook quantization
Multi-codebook quantization (MCQ) is the task of expressing a set of vectors as accurately
as possible in terms of discrete entries in multiple bases. Work in MCQ is heavily focused on …
as possible in terms of discrete entries in multiple bases. Work in MCQ is heavily focused on …
Deep spherical quantization for image search
Hashing methods, which encode high-dimensional images with compact discrete codes,
have been widely applied to enhance large-scale image retrieval. In this paper, we put …
have been widely applied to enhance large-scale image retrieval. In this paper, we put …
Hope: Hierarchical object prototype encoding for efficient object instance search in videos
This paper tackles the problem of efficient and effective object instance search in videos. To
effectively capture the relevance between a query and video frames and precisely localize …
effectively capture the relevance between a query and video frames and precisely localize …
Applications of Data Mining in the Education resource based on XML
C Song, K Ma - 2008 International Conference on Advanced …, 2008 - ieeexplore.ieee.org
As the quick development of Internet, more and more application of XML data description
appears in the Internet. How to access the knowledge we need effectively among numerous …
appears in the Internet. How to access the knowledge we need effectively among numerous …
Algorithms for large-scale multi-codebook quantization
J Martinez-Covarrubias - 2018 - open.library.ubc.ca
Combinatorial vector compression is the task of expressing a set of vectors as accurately as
possible in terms of discrete entries in multiple bases. The problem is of interest in the …
possible in terms of discrete entries in multiple bases. The problem is of interest in the …