A novel feature region selection method for robust digital image watermarking is proposed
in this paper. This method aims to select a nonoverlapping feature region set, which has the …

Local image features have been widely applied in feature-based watermarking schemes.
The feature invariance is exploited to achieve robustness against attacks, but the leakage of …

A hybrid neural network based method for halftoning and inverse halftoning of digital images
is presented. The halftone image is performed by single-layer perceptron neural network (…

Author co-citation analysis (ACA) is a commonly used method to map knowledge domains
and depict scientific intellectual structures. Although all authors’ information has been …

With an exponential increase in submissionsto top-tier Computer Science (CS) conferences,
more and more conferences have introduced a rebuttal stage to the conference peer review …

Scientometrics has many citation‐based measurements for characterizing diversity, but
most of these measurements depend on human‐designed categories and the granularity of …

A reasonable value assessment method plays an important role in both companies’ internal
management and their external transactions. Traditional value assessment methods like the …

Author co-citation analysis (ACA) is a well-known and frequently-used method to exhibit the
academic researchers and the professional field sketch according to co-citation …

Set Partitioning in Hierarchical Trees (SPIHT) is a highly efficient technique for compressing
Discrete Wavelet Transform (DWT) decomposed images. Though its compression efficiency …

As a frequently used method of depicting scientific intellectual structures, author co-citation
analysis (ACA) has been applied to many domains. However, only count-based information …