Constrained clustering has been well-studied for algorithms like K-means and hierarchical agglomerative clustering. However, how to encode constraints into spectral clustering rem...
Visual data analysis has received a lot of research interest in recent years, and a wide variety of new visualization techniques and applications have been developed to improve in...
Hartmut Ziegler, Tilo Nietzschmann, Daniel A. Keim
When building an application that requires object class recognition, having enough data to learn from is critical for good performance, and can easily determine the success or fai...
Ricochet is a low-latency reliable multicast protocol designed for time-critical clustered applications. It uses IP Multicast to transmit data and recovers from packet loss in end...
Mahesh Balakrishnan, Kenneth P. Birman, Amar Phani...
Networked systems are often evaluated on overlay testbeds such as PlanetLab and emulation testbeds such as Emulab. Emulation testbeds give users great control over the host and ne...
Robert Ricci, Jonathon Duerig, Pramod Sanaga, Dani...