In this paper, we study the problem of Web forum crawling. Web forum has now become an important data source of many Web applications; while forum crawling is still a challenging ...
Yida Wang, Jiang-Ming Yang, Wei Lai, Rui Cai, Lei ...
Abstract. Kernel based methods (such as k-nearest neighbors classifiers) for AI tasks translate the classification problem into a proximity search problem, in a space that is usu...
We propose a partitioning scheme for similarity search indexes that is called Maximal Metric Margin Partitioning (MMMP). MMMP divides the data on the basis of its distribution pat...
This paper presents a formal framework for designing search algorithms which can identify target images by the spatial distribution of color, edge and texture attributes. The fram...
For stationary or quasi-stationary frames of a video sequence, traditional block matching algorithms (BMA) will easily lead the search to be trapped into a local minimum. In this ...