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104
Voted
SC
2009
ACM
15 years 7 months ago
Lessons learned from a year's worth of benchmarks of large data clouds
In this paper, we discuss some of the lessons that we have learned working with the Hadoop and Sector/Sphere systems. Both of these systems are cloud-based systems designed to sup...
Yunhong Gu, Robert L. Grossman
138
Voted
ICDCS
2012
IEEE
13 years 3 months ago
PREPARE: Predictive Performance Anomaly Prevention for Virtualized Cloud Systems
Abstract—Virtualized cloud systems are prone to performance anomalies due to various reasons such as resource contentions, software bugs, and hardware failures. In this paper, we...
Yongmin Tan, Hiep Nguyen, Zhiming Shen, Xiaohui Gu...
CAD
2007
Springer
15 years 25 days ago
Detection of closed sharp edges in point clouds using normal estimation and graph theory
The reconstruction of a surface model from a point cloud is an important task in the reverse engineering of industrial parts. We aim at constructing a curve network on the point c...
Kris Demarsin, Denis Vanderstraeten, Tim Volodine,...
111
Voted
CVPR
2010
IEEE
15 years 8 months ago
Detecting and Parsing Architecture at City Scale from Range Data
We present a method for detecting and parsing buildings from unorganized 3D point clouds into a compact, hierarchical representation that is useful for high-level tasks. The input...
Alexander Toshev, Philippos Mordohai, Ben Taskar
109
Voted
ISVC
2010
Springer
14 years 11 months ago
Markov Random Field-Based Clustering for the Integration of Multi-view Range Images
Abstract. Multi-view range image integration aims at producing a single reasonable 3D point cloud. The point cloud is likely to be inconsistent with the measurements topologically ...
Ran Song, Yonghuai Liu, Ralph R. Martin, Paul L. R...