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ICCV
2009
IEEE
15 years 1 months ago
Bayesian selection of scaling laws for motion modeling in images
Based on scaling laws describing the statistical structure of turbulent motion across scales, we propose a multiscale and non-parametric regularizer for optic-flow estimation. R...
Patrick H´eas, Etienne M´emin, Dominique Heitz, ...
CVPR
2001
IEEE
14 years 10 months ago
Optimal Adaptive Learning for Image Retrieval
Learning-enhanced relevance feedback is one of the most promising and active research directions in recent year's content-based image retrieval. However, the existing approac...
Tao Wang, Yong Rui, Shi-Min Hu
ICDE
2007
IEEE
143views Database» more  ICDE 2007»
14 years 10 months ago
Hiding in the Crowd: Privacy Preservation on Evolving Streams through Correlation Tracking
We address the problem of preserving privacy in streams, which has received surprisingly limited attention. For static data, a well-studied and widely used approach is based on ra...
Feifei Li, Jimeng Sun, Spiros Papadimitriou, Georg...
ICDE
2007
IEEE
161views Database» more  ICDE 2007»
14 years 10 months ago
Mining Colossal Frequent Patterns by Core Pattern Fusion
Extensive research for frequent-pattern mining in the past decade has brought forth a number of pattern mining algorithms that are both effective and efficient. However, the exist...
Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu, H...
ICDE
2006
IEEE
164views Database» more  ICDE 2006»
14 years 10 months ago
Nearest Surrounder Queries
In this paper, we study a new type of spatial query, Nearest Surrounder (NS), which searches the nearest surrounding spatial objects around a query point. NS query can be more use...
Ken C. K. Lee, Wang-Chien Lee, Hong Va Leong