Many problems in computer vision involving recognition and/or classification can be posed in the general framework of supervised learning. There is however one aspect of image dat...
Arunava Banerjee, Santhosh Kodipaka, Baba C. Vemur...
We present a learning-based, sliding window-style approach for the problem of detecting humans in still images. Instead of traditional concatenation-style image location-based feat...
The recent advances in web 2.0 technologies and the rapid adoption of smart phones raises many opportunities for public services to improve their services by engaging their users ...
Daisy Yoo, John Zimmerman, Aaron Steinfeld, Anthon...
Several difficulties arise when testing network security algorithms. First, using network data captured at a router does not guarantee that any instances of the security event of...
Mobile computer technologies are increasingly being appropriated and used to facilitate people’s social life outside the work domain. Addressing this emerging domain of use, we ...