Probabilistic feature relevance learning (PFRL) is an effective method for adaptively computing local feature relevance in content-based image retrieval. It computes flexible retr...
Protein structure similarity and classification methods have many applications in protein function prediction and associated fields (e.g. drug discovery). In this paper, we propose...
Paraphrase detection can be seen as the task of aligning sentences that convey the same information but yet are written in different forms. Such resources are important to automat...
Following the recent adoption by the machine translation community of automatic evaluation using the BLEU/NIST scoring process, we conduct an in-depth study of a similar idea for ...
Multimodel analysis and controller design for nonlinear processes via gap metric is discussed. It is shown that the loop-shaping H approach can integrate the procedure of selectin...
Wen Tan, Horacio J. Marquez, Tongwen Chen, Ji-zhen...