Kernel methods yield state-of-the-art performance in certain applications such as image classification and object detection. However, large scale problems require machine learning...
Sreekanth Vempati, Andrea Vedaldi, Andrew Zisserma...
We describe efficient techniques for construction of large term co-occurrence graphs, and investigate an application to the discovery of numerous fine-grained (specific) topics. A...
Recently, visual representations using high dynamic range (HDR) images become increasingly popular, with advancement of technologies for increasing the dynamic range of image. HDR...
In Service-Oriented Computing (SOC), fragmentation and merging of workflows are motivated by a number of concerns, among which we can cite design issues, performance, and privacy. ...
Dragan Ivanovic, Manuel Carro, Manuel V. Hermenegi...
Many modern systems exploit data redundancy to improve efficiency. These systems split data into chunks, generate identifiers for each of them, and compare the identifiers among ot...
Kanat Tangwongsan, Himabindu Pucha, David G. Ander...