Analyzing sequence data has become increasingly important recently in the area of biological sequences, text documents, web access logs, etc. In this paper, we investigate the pro...
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
Discriminative sequential learning models like Conditional Random Fields (CRFs) have achieved significant success in several areas such as natural language processing, information...
Xuan Hieu Phan, Minh Le Nguyen, Tu Bao Ho, Susumu ...
We present an algorithm for Interactive Cosegmentation of a foreground object from a group of related images. While previous approaches focus on unsupervised co-segmentation, we us...
Elaborating on the rapid evolution of mobile entertainment services, this paper investigates customers’ preferences and attitudes towards mobile music services in Europe through...