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» From a Set of Shapes to Object Discovery
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ICCV
2007
IEEE
16 years 3 months ago
Image Classification using Random Forests and Ferns
We explore the problem of classifying images by the object categories they contain in the case of a large number of object categories. To this end we combine three ingredients: (i...
Andrew Zisserman, Anna Bosch, Xavier Muñoz
COMPGEOM
2010
ACM
15 years 7 months ago
Geometric tomography with topological guarantees
We consider the problem of reconstructing a compact 3manifold (with boundary) embedded in R3 from its crosssections with a given set of cutting planes having arbitrary orientation...
Omid Amini, Jean-Daniel Boissonnat, Pooran Memari
CVPR
2008
IEEE
16 years 3 months ago
Reconstructing non-stationary articulated objects in monocular video using silhouette information
This paper presents an approach to reconstruct nonstationary, articulated objects from silhouettes obtained with a monocular video sequence. We introduce the concept of motion blu...
Saad M. Khan, Mubarak Shah
SSD
2005
Springer
173views Database» more  SSD 2005»
15 years 7 months ago
On Discovering Moving Clusters in Spatio-temporal Data
A moving cluster is defined by a set of objects that move close to each other for a long time interval. Real-life examples are a group of migrating animals, a convoy of cars movin...
Panos Kalnis, Nikos Mamoulis, Spiridon Bakiras
ICMCS
2010
IEEE
152views Multimedia» more  ICMCS 2010»
15 years 3 months ago
Bipolar grouping
Most affinity-based grouping methods only model the inclusive relation among the data. When the data set contains a significant amount of noise data that should not be included in...
Jiang Xu, Junsong Yuan, Ying Wu