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KDD
2010
ACM
245views Data Mining» more  KDD 2010»
15 years 10 months ago
Flexible constrained spectral clustering
Constrained clustering has been well-studied for algorithms like K-means and hierarchical agglomerative clustering. However, how to encode constraints into spectral clustering rem...
Xiang Wang, Ian Davidson
VISSYM
2007
15 years 9 months ago
Relevance Driven Visualization of Financial Performance Measures
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
AAAI
2008
15 years 9 months ago
A Fast Data Collection and Augmentation Procedure for Object Recognition
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...
Benjamin Sapp, Ashutosh Saxena, Andrew Y. Ng
NSDI
2007
15 years 9 months ago
Ricochet: Lateral Error Correction for Time-Critical Multicast
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...
NSDI
2007
15 years 9 months ago
The Flexlab Approach to Realistic Evaluation of Networked Systems
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...
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