The objective of this paper is to study the existing methods for unsupervised object recognition and image categorization and propose a model that can learn directly from the outp...
Database storage management in clustered storage environments is a manual, time-consuming, and error-prone task. Such management involves regular movement of database objects acro...
This paper proposes an application-transparent, low-overhead checkpointing strategy for maintaining consistency of control structures in a commercial main memory database (MMDB) sy...
Long Wang, Zbigniew Kalbarczyk, Ravishankar K. Iye...
Visual recognition faces the difficult problem of recognizing objects despite the multitude of their appearances. Ample neuroscientific evidence shows that the cortex uses a topogr...
We argue that traditional synchronization objects, such as locks, conditions, and atomic/volatile variables, should be defined in terms of transactions, rather than the other way ...
Luke Dalessandro, Michael L. Scott, Michael F. Spe...