A k-NN query finds the k nearest-neighbors of a given point from a point database. When it is sufficient to measure object distance using the Euclidian distance, the key to effici...
Ke Deng, Xiaofang Zhou, Heng Tao Shen, Kai Xu 0003...
The detection of new information in a document stream is an important component of many potential applications. In this paper, a new novelty detection approach based on the identi...
A key problem in using the output of an auditory model as the input to a machine-learning system in a machine-hearing application is to find a good feature-extraction layer. For ...
In this paper, we propose a transductive learning method for content-based image retrieval: Multiple Random Walk (MRW). Its basic idea is to construct two generative models by mea...
With the amount of available text data in relational databases growing rapidly, the need for ordinary users to search such information is dramatically increasing. Even though the ...
Fang Liu, Clement T. Yu, Weiyi Meng, Abdur Chowdhu...