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135
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COMPGEOM
2009
ACM
15 years 9 months ago
k-means requires exponentially many iterations even in the plane
The k-means algorithm is a well-known method for partitioning n points that lie in the d-dimensional space into k clusters. Its main features are simplicity and speed in practice....
Andrea Vattani
ICIP
2009
IEEE
15 years 2 months ago
Fast subspace-based tensor data filtering
Subspace-based methods rely on dominant element selection from second order statistics. They have been extended to tensor processing, in particular to tensor data filtering. For t...
Julien Marot, Caroline Fossati, Salah Bourennane
144
Voted
EUC
2006
Springer
15 years 8 months ago
Cross-Layer Duty Cycle Scheduling with Data Aggregation Routing in Wireless Sensor Networks
Abstract. Well-scheduled communications, in conjunction with the aggregation of data reduce the energy waste on idle listening and redundant transmissions. In addition, the adjusta...
Yean-Fu Wen, Frank Yeong-Sung Lin
150
Voted
CVPR
2004
IEEE
16 years 6 months ago
Multigrid and Multi-Level Swendsen-Wang Cuts for Hierarchic Graph Partition
Many vision tasks can be formulated as partitioning an adjacency graph through optimizing a Bayesian posterior probability p defined on the partition-space. In this paper two appr...
Adrian Barbu, Song Chun Zhu
CVPR
2004
IEEE
16 years 6 months ago
Radiometric Alignment of Image Sequences
Color values in an image are related to image irradiance by a nonlinear function called radiometric response function. Since this function depends on the aperture and the shutter ...
Seon Joo Kim, Marc Pollefeys