In many real world applications, labeled data are usually expensive to get, while there may be a large amount of unlabeled data. To reduce the labeling cost, active learning attem...
Chun Chen, Zhengguang Chen, Jiajun Bu, Can Wang, L...
A large number of problems in computer vision can be modeled as energy minimization problems in a markov random field (MRF) framework. Many methods have been developed over the y...
Vibhav Vineet, Jonathan Warrell, Philip H. S. Torr
S-MAC is a MAC (Medium Access Control) protocol as specialized for the wireless sensor network in order to sacrifice transmission delay and extend the working life of the whole sen...
A Natural Language Interface for Databases allows users of multimedia kiosks to formulate natural language questions. User questions are first translated into a logic language and ...
One common predictive modeling challenge occurs in text mining problems is that the training data and the operational (testing) data are drawn from different underlying distributi...