Efficient nearest neighbors via robust sparse hashing.
IEEE Transactions on Image Processing(2014)
摘要
This paper presents a new nearest neighbor (NN) retrieval framework: robust sparse hashing (RSH). Our approach is inspired by the success of dictionary learning for sparse coding. Our key idea is to sparse code the data using a learned dictionary, and then to generate hash codes out of these sparse codes for accurate and fast NN retrieval. But, direct application of sparse coding to NN retrieval p...
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关键词
Dictionaries,Vectors,Robustness,Uncertainty,Noise,Optimization,Image coding
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