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NN
2008
Springer
201views Neural Networks» more  NN 2008»
15 years 6 months ago
Learning representations for object classification using multi-stage optimal component analysis
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
Yiming Wu, Xiuwen Liu, Washington Mio
CIKM
2010
Springer
15 years 5 months ago
Building a semantic representation for personal information
A typical collection of personal information contains many documents and mentions many concepts (e.g., person names, events, etc.). In this environment, associative browsing betwe...
Jinyoung Kim, Anton Bakalov, David A. Smith, W. Br...
CORR
2011
Springer
161views Education» more  CORR 2011»
14 years 10 months ago
A Panorama on Multiscale Geometric Representations, Intertwining Spatial, Directional and Frequency Selectivity
The richness of natural images makes the quest for optimal representations in image processing and computer vision challenging. The latter observation has not prevented the design...
Laurent Jacques, Laurent Duval, Caroline Chaux, Ga...
CG
2011
Springer
14 years 10 months ago
IA*: An adjacency-based representation for non-manifold simplicial shapes in arbitrary dimensions
We propose a compact, dimension-independent data structure for manifold, non-manifold and non-regular simplicial complexes, that we call the Generalized Indexed Data structure wit...
David Canino, Leila De Floriani, Kenneth Weiss
225
Voted
CVPR
2009
IEEE
17 years 1 months ago
Efficient Representation of Local Geometry for Large Scale Object Retrieval
State of the art methods for image and object re- trieval exploit both appearance (via visual words) and local geometry (spatial extent, relative pose). In large scale problems,...
Michal Perdoch (Czech Technical University), Ondre...