We consider the general problem of learning from both labeled and unlabeled data. Given a set of data points, only a few of them are labeled, and the remaining points are unlabele...
Fei Wang, Changshui Zhang, Helen C. Shen, Jingdong...
Understanding and maintaining the structure of large ontologies is a cognitively demanding task. Visualizations are commonly used as a cognitive aid for presenting large ontologie...
This paper proposes a new architecture for efficient variable-length decoding (VLD) of entropy-coded data for multimedia applications on general-purpose processors. It improves o...
Support Vector Machines (SVMs) have been very successful in text classification. However, the intrinsic geometric structure of text data has been ignored by standard kernels commo...
Abstract. Flexibility of programming and efficiency of program execution are two important features of a programming language. Unfortunately, however, there is an inherent conflict...