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Article
Dimensionality reduction by t-Distribution adaptive manifold embedding
High-dimensional data are difficult to explore and analyze due to they are highly correlative and redundant. Although previous dimensionality reduction methods have achieved promising performance, there are st...
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Article
Correction to: robust two-phase registration method for three-dimensional point set under the bayesian mixture framework
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Article
Robust two-phase registration method for three-dimensional point set under the Bayesian mixture framework
In order to establish effective correspondences, a two-phase registration method for three-dimensional point set is proposed under the Bayesian mixture framework. In the first phase, the mixture model consiste...
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Article
Semi-supervised nonnegative matrix factorization with positive and negative label propagations
Semi-supervised nonnegative matrix factorization (SNMF) methods yield the enhanced representation ability over nonnegative matrix factorization (NMF) by incorporating the label information. Label propagation (...
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Chapter and Conference Paper
An Improved Class-Center Method for Text Classification Using Dependencies and WordNet
Automatic text classification is a research focus and core technology in natural language processing and information retrieval. The class-center vector method is an important text classification method, which ...
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Chapter and Conference Paper
IacCE: Extended Taint Path Guided Dynamic Analysis of Android Inter-App Data Leakage
There exists a need for overall security analysis of a set of apps. We demonstrate IacCE, a tool implementing our approach that applies concolic execution on combined apps guided by extended Inter-App taint pa...