We present a framework for learning object representations for fast recognition of a large number of different objects. Rather than learning and storing feature representations s...
With the growing scale of current computing systems, traditional configuration tuning methods become less effective because they usually assume a small number of parameters in the...
Motivated by sensor networks, we consider the fusion storage of correlated sources in a database, such that any subset of them may be efficiently retrieved in the future. Only st...
Classical distributed database systems monolithically offer distribution transparency and higher performance. This is made possible by making data available and closer to the appl...
Recently, the diversified types of companies have been trying to cooperate among them to cope with the dynamic market and thus integration of their DBs with heterogeneous requirem...