We present a framework for automatically summarizing social group activity over time. The problem is important in understanding large scale online social networks, which have dive...
This paper proposes efficient and robust methods for tracking a moving object at multiple spatial and temporal resolution levels. The efficiency comes from optimising the amounts ...
Sumantra Dutta Roy, Son Dinh Tran, Larry S. Davis,...
Since it is hard to handcraft the prior knowledge in a shape detection framework, machine learning methods are preferred to exploit the expert annotation of the target shape in a d...
Yefeng Zheng, Xiang Sean Zhou, Bogdan Georgescu, S...
Context influences the search process, but to date research has not definitively identified which aspects of context are the most influential for information retrieval, and thus a...
Luanne Freund, Elaine G. Toms, Charles L. A. Clark...
Multiple-dimensional, i.e., polyadic, data exist in many applications, such as personalized recommendation and multipledimensional data summarization. Analyzing all the dimensions...