Metric access methods (MAMs), such as the M-tree, are powerful index structures for supporting ty queries on metric spaces, which represent a common abstraction for those searchin...
The increasing availability of large-scale location traces creates unprecedent opportunities to change the paradigm for knowledge discovery in transportation systems. A particular...
Yong Ge, Hui Xiong, Alexander Tuzhilin, Keli Xiao,...
A large number of computer tasks can be modeled as the search for an object near a given query. From multimedia databases to learning algorithms, data mining and pattern recognitio...
Nowadays, graph-based knowledge discovery algorithms do not consider numeric attributes (they are discarded in the preprocessing step, or they are treated as alphanumeric values w...
Oscar E. Romero, Jesus A. Gonzalez, Lawrence B. Ho...
Human visual perception is able to recognize a wide range of targets under challenging conditions, but has limited throughput. Machine vision and automatic content analytics can p...
Jun Wang, Eric Pohlmeyer, Barbara Hanna, Yu-Gang J...