The content based image retrieval aims to find the similar images from a large scale dataset
against a query image. Generally, the similarity between the representative features of the …

The clustering methods have recently absorbed even-increasing attention in learning and
vision. Deep clustering combines embedding and clustering together to obtain optimal …

This chapter provides an accessible introduction for point processes, and especially Hawkes
processes, for modeling discrete, inter-dependent events over continuous time. We start by …

Explosive growth of multimedia data has brought challenge of how to efficiently browse,
retrieve and organize these data. Under this circumstance, different approaches have been …

Unsupervised co-analysis of a set of shapes is a difficult problem since the geometry of the
shapes alone cannot always fully describe the semantics of the shape parts. In this paper …

Due to the high spectral resolution, anomaly detection from hyperspectral images provides a
new way to locate potential targets in a scene, especially those targets that are spectrally …

Recent years have witnessed the explosive growth of community-contributed images with
rich context information, which is beneficial to the task of image retrieval. It can help us to …

Distance metric learning is a fundamental problem in data mining and knowledge discovery.
Many representative data mining algorithms, such as k k-nearest neighbor classifier …