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VLDB
2005
ACM
180views Database» more  VLDB 2005»
15 years 12 months ago
Cache-conscious Frequent Pattern Mining on a Modern Processor
In this paper, we examine the performance of frequent pattern mining algorithms on a modern processor. A detailed performance study reveals that even the best frequent pattern min...
Amol Ghoting, Gregory Buehrer, Srinivasan Parthasa...
CVPR
2008
IEEE
16 years 8 months ago
Sparsity, redundancy and optimal image support towards knowledge-based segmentation
In this paper, we propose a novel approach to model shape variations. It encodes sparsity, exploits geometric redundancy, and accounts for the different degrees of local variation...
Salma Essafi, Georg Langs, Nikos Paragios
GECCO
2003
Springer
123views Optimization» more  GECCO 2003»
15 years 11 months ago
Benefits of Implicit Redundant Genetic Algorithms for Structural Damage Detection in Noisy Environments
A robust structural damage detection method that can handle noisy frequency response function information is discussed. The inherent unstructured nature of damage detection problem...
Anne M. Raich, Tamás Liszkai
DAGSTUHL
2004
15 years 7 months ago
The Priority R-Tree: A Practically Efficient and Worst-Case-Optimal R-Tree
We present the Priority R-tree, or PR-tree, which is the first R-tree variant that always answers a window query using O((N/B)1-1/d + T/B) I/Os, where N is the number of ddimensio...
Lars Arge, Mark de Berg, Herman J. Haverkort, Ke Y...
ECCV
2008
Springer
16 years 8 months ago
Learning Optical Flow
Assumptions of brightness constancy and spatial smoothness underlie most optical flow estimation methods. In contrast to standard heuristic formulations, we learn a statistical mod...
Deqing Sun, Stefan Roth, J. P. Lewis, Michael J. B...