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Various saliency detection model have been proposed for the visual attention prediction in 2D images/videos. The rapid development of stereoscopic display techniques along with the emerging 3D applications, bring the depth information. Depth is an appealing vision feature since it provides instantaneous depth perception for the scene and can affect human's visual attention. In this paper, we propose...
Measuring the semantic similarity between pairs of terms in Gene Ontology (GO) can help to compare genes that can not be compared by other computational methods. In this study, we proposed a hybrid method to calculate the semantic similarity between two GO terms by taking into account multiple common ancestors of they have in common, and aggregating the semantic information and depth information of...
In the last decade, illumination problem has been the bottleneck of robust face recognition system. Extracting illumination invariant features becomes more and more significant to solve this issue. However, existing works in this field only consider the variations caused by lighting direction or magnitude (denoted as homogeneous lighting), while the spectral wavelength is always ignored in most of...
Handwritten identification is a technique of automatic person identification play important role in economic dispute case. In this paper, we propose a new dataset system of Economic Dispute handwritten (DSEDH) based on stroke shape and structure Features. The system consists of CIMS, CPIS, HMS, HIS Subsystem, segmentation of character, recognition of handwritten, this system with high efficiency and...
Handwriting identification is a hot topic in the field of pattern recognition. In this paper, we propose a novel method for off-line Chinese handwriting identification based on stroke shape and structure. To extract the features embedded in Chinese handwriting character, two special structures have been explored, which are bounding rectangle and TBLR quadrilateral. 16 features are extracted from the...
The explosive growth of location detection devices, wireless communications, and mobile databases has resulted in the realization of location based services. Unfortunately, current location based services are rigid as they are isolated from various concepts of contextual information which include not only user's location but also user's preference, user's plan, network connectivity, etc. In this paper...
We extend a recent Sparse Representation-based Classification (SRC) algorithm for face recognition to work on 2D images directly, aiming to reduce the computational complexity whilst still maintaining performance. Our contributions include: (1) a new 2D extension of SRC algorithm; (2) an incremental computing procedure which can reduce the eigen decomposition expense of each 2D-SRC for sequential...
Supervised manifold learning has been successfully applied to human action recognition. With the class label information, the recognition performance can be improved. However, the learned manifold may not be able to well preserve the local structure which reflects temporal information of an action. To overcome this limitation, this paper proposes a new supervised manifold learning algorithm namely...
Mimotopes are peptides mimicking an epitope. They can readily be selected out from phage-displayed random peptides libraries and have been widely used, especially in epitope mapping. There are now several computational tools available for the mimotope based epitope mapping. Most of these tools implicitly take peptides acquired through phage display as mimotopes in an extended conformation and map...
We propose a semi-supervised learning algorithm for discriminant analysis, which uses the geometric structure of both labeled and unlabeled samples and perform a manifold regularization on LDA. The labeled data points provide labeling information and the unlabeled data points provide extra geometric structure information of the data, then we learn a labeling function which is as smooth as possible...
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