Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....
To ensure low power consumption while maintaining flexibility and performance, future Systems-on-Chip (SoC) will combine several types of processor cores and data memory units of...
Anthony Leroy, Paul Marchal, Adelina Shickova, Fra...
Schema matching identifies elements of two given schemas that correspond to each other. Although there are many algorithms for schema matching, little has been written about build...
Philip A. Bernstein, Sergey Melnik, Michalis Petro...
Intended for network-wide dissemination of commands, configurations and code binaries, flooding has been investigated extensively in wireless networks. However, little work has ...
for reasoning about abstract models of protocols. The work on informal methods attempts to discern common patterns in the extensive record of flawed protocols, and to formulate po...