Machine-learning algorithms are employed in a wide variety of applications to extract useful information from data sets, and many are known to suffer from superlinear increases in ...
Karthik Nagarajan, Brian Holland, Alan D. George, ...
There has been considerable success in automated reconstruction for image sequences where small baseline algorithms can be used to establish matches across a number of images. In c...
This paper presents an approach to system-level optimization of error detection implementation in the context of fault-tolerant realtime distributed embedded systems used for safe...
Adrian Lifa, Petru Eles, Zebo Peng, Viacheslav Izo...
With the recent advances in portable devices and wireless networks, a new paradigm of computing has emerged which is known as mobile computing. In general mobile computing can be ...
Multi-label problems arise in various domains such as multitopic document categorization and protein function prediction. One natural way to deal with such problems is to construc...