Unsupervised deep hash functions have not shown satisfactory improvements against the
shallow alternatives, and usually, require supervised pretraining to avoid getting stuck in …

Face alignment has been extensively studied in computer vision community due to its
fundamental role in facial analysis, but it remains an unsolved problem. The major …

Sparse index tracking, as one of the passive investment strategies, is to track a benchmark
financial index via constructing a portfolio with a few assets in a market index. It can be …

High-throughput sequencing and multiomics technologies have allowed increasing
numbers of biomarkers to be mined and used for disease diagnosis, risk stratification …

The product quality indicators of the penicillin fermentation process have multiple semantics
and are interrelated. There is a complex nonlinear mapping relationship between input …

The traditional manifold learning methods usually utilize the original observed data to
directly define the intrinsic structure among data. Because the original samples often contain …

In this paper, the Ridge, LASSO and Elastic Net regression methods are adapted for the task
of selecting feature. In order to enhance the feature selection performance via these …

Crowd counting usually addressed by density estimation becomes an increasingly important
topic in computer vision due to its widespread applications in video surveillance, urban …

This paper introduces a novel approach to learn multi-task regression models with
constrained architecture complexity. The proposed model, named RFF-BLR, consists of a …

Face alignment has recently generated great popularity in computer vision due to its
widespread applications. The cascaded regression model has dominated and achieved …