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Article
Semi-supervised clustering ensemble based on genetic algorithm model
Clustering ensemble can be regarded as a mathematical optimization problem, and the genetic algorithm has been widely used as a powerful tool for solving such optimization problems. However, the existing resea...
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Article
An algorithm of non-negative matrix factorization with the nearest neighbor after per-treatments
Clustering is a hot topic in machine learning. For high dimension data, nonnegative matrix factorization (NMF) is a crucial technology in clustering. However, NMF has some disadvantages. First, NMF clusters da...
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Chapter and Conference Paper
Compiler-Assisted Operator Template Library for DNN Accelerators
Despite many dedicated accelerators are gaining popularity for their performance and energy efficiency in the deep neural network (DNN) domain, high-level programming support for these accelerators remains thi...
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Article
A lattice-based searchable encryption scheme with the validity period control of files
In recent years, with the dramatic increase in the use of multimedia data, rapid retrieval and sharing of the multimedia data have become major trends. The validity period control function widely used in daily...
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Chapter and Conference Paper
Person Re-id by Incorporating PCA Loss in CNN
This paper proposes an algorithm, particularly a loss function and its end to end learning manner, for person re-identification task. The main idea is to take full advantage of the labels in a batch during tra...
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Article
City digital pulse: a cloud based heterogeneous data analysis platform
In recent years, increasing attention has been paid to develo** exceptional technologies for efficiently processing massive collection of data. This is essential in the research on smart city, which involves...