This paper proposes a new unsupervised spectral feature selection method to preserve both
the local and global structure of the features as well as the samples. Specifically, our method …

Scene change detection between multitemporal image scenes can be used to interpret the
variation of regional land use, and has significant potential in the application of urban …

Direction information serves as one of the most important features for palmprint recognition.
In the past decade, many effective direction representation (DR)-based methods have been …

This paper proposes a novel method, called robust latent subspace learning (RLSL), for
image classification. We formulate an RLSL problem as a joint optimization problem over …

Human palmprint-based biometric solutions have been studied extensively in both
controlled and uncontrolled environments. However, the majority of existing methods do not …

Data fusion is used to integrate features from heterogeneous data sources into a consistent
and accurate representation for certain learning tasks. As an effective technique for data …

Due to the high-dimensional characteristic of hyperspectral images, dimensionality
reduction (DR) is an important preprocessing step for classification. Recently, sparse and …

The vast majority of dimensionality reduction (DR) techniques rely on the second-order
statistics to define their optimization objective. Even though this provides adequate results in …

This paper puts forward an Enhanced Gabor feature descriptor termed as E-Gabor for
obtaining high classification accuracy of emotions with low dimension. Two methods have …

Despite its ability to handle occlusions and noise, sparse tracking may be inadequate to
describe complex noise corruption, for instance, in urban road tracking, where road surfaces …