In this paper, we propose a novel manifold alignment method by learning the underlying common manifold with supervision of corresponding data pairs from different observation sets...
Deming Zhai, Bo Li, Hong Chang, Shiguang Shan, Xil...
Representing documents by vectors that are independent of language enhances machine translation and multilingual text categorization. We use discriminative training to create a pr...
It is well-known that diversity among base classifiers is crucial for constructing a strong ensemble. Most existing ensemble methods obtain diverse individual learners through res...
For multimedia interpretation, and in particular for the combined interpretation of information coming from different modalities, a semantically well-founded formalization is requ...
The primary legal obstacles to conducting cybersecurity are not outright prohibitions but rather the difficulty of determining which of a large set of complex statutes might regul...