Bioinformatics, through the sequencing of the full genomes for many species, is increasingly relying on efficient global alignment tools exhibiting both high sensitivity and specificity. Many computational algorithms have been applied for solving the sequence alignment problem. Dynamic programming, statistical methods, approximation and heuristic algorithms are the most common methods appli...

Recently, multi-view representation learning has become a rapidly growing direction in machine learning and data mining areas. This paper first reviews the root methods and theories on multi-view representation learning, especially on canonical correlation analysis (CCA) and its several extensions. And then we investigate the advancement of multi-view representation learning that ranges from sh...

Mesh adaptation is studied from the mesh control point of view. Two principles, equidistribution and alignment, are obtained and found to be necessary and sufficient for a complete control of the size, shape, and orientation of mesh elements. A key component in these principles is the monitor function, a symmetric and positive definite matrix used for specifying the mesh information. A monitor ...

UNLABELLED We introduce a new visual analytics tool named MapView to facilitate the representation of large-scale short reads alignment data and genetic variation analysis. MapView can handle hundreds of millions of short reads on a desktop computer with limited memory. It supports a compact alignment view for both single-end and paired end short reads, multiple navigation and zoom modes and mu...

This paper proposes and evaluates a new spectral smoothing technique whose performance is comparable with LSP interpolation in terms of Euclidean spectral distance measurements but whose interpolated formant trajectories are more reasonable from a phonetic point of view. The approach firstly estimates derivative logarithmic magnitude spectra from both the source and the target frame represented...

To facilitate front-line teachers to provide more efficient cases for classroom teaching activities in limited time, it is necessary conduct clustering analysis of online cases. The existing study on text-based resources focuses the representation and fusion different views texts discovery consistent allocation, ignores high-dimensional sparsity text data. this end, paper studies evaluation res...