We introduce a method that enables scalable image search for learned metrics. Given pairwise similarity and dissimilarity constraints between some images, we learn a Mahalanobis d...
Mappings to structured output spaces (strings, trees, partitions, etc.) are typically learned using extensions of classification algorithms to simple graphical structures (eg., li...
In this paper we report our research on building WebSail { an intelligent web search engine that is able to perform real-time adaptive learning. WebSail learns from the user'...
Zhixiang Chen, Xiannong Meng, Binhai Zhu, Richard ...
The continuous development of the Internet has resulted in an exponential increase in the amount of available information. A popular way to access this information is by submittin...
This paper describes a genetic learning system called SIA, which learns attributes based rules from a set of preclassified examples. Examples may be described with a variable numbe...