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» Object Recognition from Large Structural Libraries
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DOCENG
2008
ACM
13 years 9 months ago
Keeping a digital library clean: new solutions to old problems
Digital Libraries are complex information systems that involve rich sets of digital objects and their respective metadata, along with multiple organizational structures and servic...
Alberto H. F. Laender, Marcos André Gon&cce...
EDBT
2004
ACM
172views Database» more  EDBT 2004»
14 years 8 months ago
Efficient Similarity Search for Hierarchical Data in Large Databases
Structured and semi-structured object representations are getting more and more important for modern database applications. Examples for such data are hierarchical structures inclu...
Karin Kailing, Hans-Peter Kriegel, Stefan Schö...
CLOR
2006
13 years 11 months ago
A Sparse Object Category Model for Efficient Learning and Complete Recognition
We present a "parts and structure" model for object category recognition that can be learnt efficiently and in a weakly-supervised manner: the model is learnt from examp...
Robert Fergus, Pietro Perona, Andrew Zisserman
ECCV
2000
Springer
14 years 9 months ago
Learning to Recognize 3D Objects with SNoW
This paper describes a novel view-based learning algorithm for 3D object recognition from 2D images using a network of linear units. The SNoW learning architecture is a sparse netw...
Ming-Hsuan Yang, Dan Roth, Narendra Ahuja
CCGRID
2003
IEEE
13 years 11 months ago
Improving Access to Multi-dimensional Self-describing Scientific Dataset
Applications that query into very large multidimensional datasets are becoming more common. Many self-describing scientific data file formats have also emerged, which have structu...
Beomseok Nam, Alan Sussman