We describe an algorithm for automatically learning discriminative components of objects with SVM classifiers. It is based on growing image parts by minimizing theoretical bounds ...
Bernd Heisele, Thomas Serre, Massimiliano Pontil, ...
In this paper, we attempt to explain why rule-based syntactic analysis systems have not so far worked as well as they could. This will motivate our approach, which is based on a n...
This paper describes an asynchronous state-machine replication system that tolerates Byzantine faults, which can be caused by malicious attacks or software errors. Our system is t...
Multi-threaded programming is difficult and error prone. It is easy to make a mistake in synchronization that produces a data race, yet it can be extremely hard to locate this mi...
Stefan Savage, Michael Burrows, Greg Nelson, Patri...
Mandarin Chinese is a highly flexible and context-sensitive language. It is difficult to do the case marking and index assignment during the parsing of Chinese sentences. This pap...