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ICPR
2010
IEEE
15 years 2 months ago
Matching Groups of People by Covariance Descriptor
In this paper, we present a new solution to the problem of matching groups of people across multiple nonoverlapping cameras. Similar to the problem of matching individuals across ...
Yinghao Cai, Valtteri Takala, Matti Pietikäin...
ICCV
2007
IEEE
16 years 6 months ago
Normalized Cuts Revisited: A Reformulation for Segmentation with Linear Grouping Constraints
Indisputably Normalized Cuts is one of the most popular segmentation algorithms in computer vision. It has been applied to a wide range of segmentation tasks with great success. A...
Anders P. Eriksson, Carl Olsson, Fredrik Kahl
CVPR
2000
IEEE
15 years 8 months ago
Perceptual Grouping and Segmentation by Stochastic Clustering
We use cluster analysis as a unifying principle for problems from low, middle and high level vision. The clustering problem is viewed as graph partitioning, where nodes represent ...
Yoram Gdalyahu, Noam Shental, Daphna Weinshall
EDM
2008
193views Data Mining» more  EDM 2008»
15 years 5 months ago
Can we predict which groups of questions students will learn from?
In a previous study ([4]), we used the ASSISTment system to track student knowledge longitudinally over the course of a schools year, based upon each student using our system about...
Mingyu Feng, Neil T. Heffernan, Joseph E. Beck, Ke...
ICPR
2000
IEEE
16 years 5 months ago
Automatic Video Scene Extraction by Shot Grouping
For more efficient organizing, browsing, and retrieving digital video content, it is important to extract video structure information at both scene and shot levels. This paper pre...
Tong Lin, HongJiang Zhang