This paper proposes a very general max-margin learning framework for distance-based clustering. To this end, it formulates clustering as a high order energy minimization problem w...
We present algorithms for fast quantile and frequency estimation in large data streams using graphics processor units (GPUs). We exploit the high computational power and memory ba...
Naga K. Govindaraju, Nikunj Raghuvanshi, Dinesh Ma...
Abstract This paper introduces a parallelization of fuzzy logicbased image processing using Graphics Processor Units (GPUs). Using an NVIDIA 8800 Ultra, a 126 time speed improvemen...
Robert H. Luke III, Derek Anderson, James M. Kelle...
Large information spaces are often difficult to access efficiently and intuitively. We are exploring Pad++, a graphical interface system based on zooming, as an alternative to tra...
Chemisty faces interesting problems with regard to internet-based information visualization, especially in the context of digital library documents with multimedia components. We ...