Multi-view learning (MVL) is a strategy for fusing data from different sources or subsets.
Canonical correlation analysis (CCA) is very important in MVL, whose main idea is to map …

Cross-modal retrieval has recently attracted much attention because it helps users retrieve
data across different modalities. However, with the explosive growth of data, a large number …

We present an unsupervised multi-view partial least squares (PLS) by learning a common
latent space from given multi-view data. Although PLS is a frequently used technique for …

Cross-modal retrieval is an important research area due to its wide range of applications,
and several algorithms have been proposed to address this task. We feel that it is the right …

Zero-shot cross-modal retrieval (ZS-CMR) performs the task of cross-modal retrieval where
the classes of test categories have a different scope than the training categories. It borrows …

Cross-modal hashing has drawn increasing research interests in cross-modal retrieval due
to the explosive growth of multimedia big data. However, most of the existing models are …

多视图学习是将不同来源的特征子集加以融合的策略. 典型相关分析是多视图学习中的重要方法
, 旨在最大化不同视图之间的相关性. 传统的典型相关分析仅能计算两个视图之间的线性相关性 …