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» Learning from Highly Structured Data by Decomposition
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CVPR
2008
IEEE
15 years 6 months ago
Loose shape model for discriminative learning of object categories
We consider the problem of visual categorization with minimal supervision during training. We propose a partbased model that loosely captures structural information. We represent ...
Margarita Osadchy, Elran Morash
DEBU
2000
101views more  DEBU 2000»
15 years 4 months ago
Learning to Understand the Web
In a traditional information retrieval system, it is assumed that queries can be posed about any topic. In reality, a large fraction of web queries are posed about a relatively sm...
William W. Cohen, Andrew McCallum, Dallan Quass
PRL
2010
158views more  PRL 2010»
15 years 2 months ago
Data clustering: 50 years beyond K-means
: Organizing data into sensible groupings is one of the most fundamental modes of understanding and learning. As an example, a common scheme of scientific classification puts organ...
Anil K. Jain
ICPR
2008
IEEE
16 years 5 months ago
A matrix alignment approach for link prediction
This paper introduces a new discriminative learning technique for link prediction based on the matrix alignment approach. Our algorithm automatically determines the most predictiv...
Jerry Scripps, Pang-Ning Tan, Feilong Chen, Abdol-...
SMA
2003
ACM
169views Solid Modeling» more  SMA 2003»
15 years 9 months ago
Surface reconstruction of freeform objects based on multiresolution volumetric method
3D scanners developed over the past several decades have facilitated the reconstruction of complicated engineering parts. Typically the boundary representation of a part is recons...
Sergei Azernikov, Alex Miropolsky, Anath Fischer