— Clustering is a pivotal building block in many data mining applications and in machine learning in general. Most clustering algorithms in the literature pertain to off-line (or...
Steven Young, Itamar Arel, Thomas P. Karnowski, De...
Converting a scanned document to a binary format (black and white) is a key step in the digitization process. While many existing binarization algorithms operate robustly for well...
The development and implementation of new network protocols and applications need accurate, scalable, reconfigurable, and inexpensive tools for debugging, testing, performance tun...
Software systems bridge the gap between information processing needs and available computer hardware. As system requirements grow in complexity and hardware evolves, the gap does ...
We present a novel data collection system deployed for the ACQUINE - Aesthetic Quality Inference Engine. The goal of the system is to collect online user opinions, both structured...