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» Hierarchical Structuring of Data on Manifolds
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IVC
2007
184views more  IVC 2007»
13 years 8 months ago
Image distance functions for manifold learning
Many natural image sets are samples of a low-dimensional manifold in the space of all possible images. When the image data set is not a linear combination of a small number of bas...
Richard Souvenir, Robert Pless
ICPR
2008
IEEE
14 years 10 months ago
Manifold optimisation for motion factorisation
This paper presents a novel formulation for the popular factorisation based solution for Structure from Motion. Since our measurement matrices are populated with incomplete and in...
Appu Shaji, David Suter, Sharat Chandran
DAGSTUHL
1998
13 years 10 months ago
Segmented Iterators and Hierarchical Algorithms
Abstract. Many data structures are naturally segmented. Generic algorithms that ignore that feature, and that treat every data structure as a uniform range of elements, are unneces...
Matthew H. Austern
SIGMOD
1996
ACM
84views Database» more  SIGMOD 1996»
14 years 28 days ago
Change Detection in Hierarchically Structured Information
Detecting and representing changes to data is important for active databases, data warehousing, view maintenance, and version and configuration management. Most previous work in c...
Sudarshan S. Chawathe, Anand Rajaraman, Hector Gar...
ICCV
2011
IEEE
12 years 8 months ago
Dynamic Manifold Warping for View Invariant Action Recognition
We address the problem of learning view-invariant 3D models of human motion from motion capture data, in order to recognize human actions from a monocular video sequence with arbi...
Dian Gong, Gerard Medioni