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MICCAI
2004
Springer
16 years 2 months ago
Scale-Invariant Registration of Monocular Endoscopic Images to CT-Scans for Sinus Surgery
In this paper, we present a novel method for intra-operative registration directly from monocular endoscopic images. This technique has the potential to provide a more accurate su...
Darius Burschka, Ming Li, Russell H. Taylor, Grego...
DSN
2006
IEEE
15 years 5 months ago
A Contribution Towards Solving the Web Workload Puzzle
World Wide Web, the biggest distributed system ever built, experiences tremendous growth and change in Web sites, users, and technology. A realistic and accurate characterization ...
Katerina Goseva-Popstojanova, Fengbin Li, Xuan Wan...
ICCV
2011
IEEE
14 years 1 months ago
Struck: Structured Output Tracking with Kernels
Adaptive tracking-by-detection methods are widely used in computer vision for tracking arbitrary objects. Current approaches treat the tracking problem as a classification task a...
Sam Hare, Amir Saffari, Philip H.S. Torr
KDD
2008
ACM
159views Data Mining» more  KDD 2008»
16 years 2 months ago
Semi-supervised learning with data calibration for long-term time series forecasting
Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
Haibin Cheng, Pang-Ning Tan
SIGMOD
2001
ACM
200views Database» more  SIGMOD 2001»
16 years 1 months ago
Data Bubbles: Quality Preserving Performance Boosting for Hierarchical Clustering
In this paper, we investigate how to scale hierarchical clustering methods (such as OPTICS) to extremely large databases by utilizing data compression methods (such as BIRCH or ra...
Markus M. Breunig, Hans-Peter Kriegel, Peer Kr&oum...