In image retrieval, global features related to color or texture are commonly used to describe the image content. The use of interest points in contentbased image retrieval allows ...
The goals of this paper are twofold. The first is to present a new sampling theory for curves, based on a new notion of local feature size. The properties of this new feature size...
Background: Subcellular localization information is one of the key features to protein function research. Locating to a specific subcellular compartment is essential for a protein...
Song Zhang, Xuefeng Xia, Jincheng Shen, Yun Zhou, ...
Abstract. Segmentation is an important step to obtain quantitative information from tomographic data sets. To this end, global thresholding is often used in practice. However, it i...
- Canonical correlation analysis (CCA) is a major linear subspace approach to dimensionality reduction and has been applied to image processing, pose estimation and other fields. H...