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» Learning from Highly Structured Data by Decomposition
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86
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KDD
2007
ACM
211views Data Mining» more  KDD 2007»
15 years 10 months ago
Enhanced max margin learning on multimodal data mining in a multimedia database
The problem of multimodal data mining in a multimedia database can be addressed as a structured prediction problem where we learn the mapping from an input to the structured and i...
Zhen Guo, Zhongfei Zhang, Eric P. Xing, Christos F...
ITC
2003
IEEE
205views Hardware» more  ITC 2003»
15 years 3 months ago
H-DFT: A Hybrid DFT Architecture For Low-Cost High Quality Structural Testing
This paper describes a Hybrid DFT (H-DFT) architecture for low-cost, high quality structural testing in the high volume manufacturing (HVM) environment. This structure efficiently...
David M. Wu, Mike Lin, Subhasish Mitra, Kee Sup Ki...
80
Voted
CVPR
2008
IEEE
15 years 11 months ago
Spectral methods for semi-supervised manifold learning
Given a finite number of data points sampled from a low-dimensional manifold embedded in a high dimensional space together with the parameter vectors for a subset of the data poin...
Zhenyue Zhang, Hongyuan Zha, Min Zhang
ISWC
2006
IEEE
15 years 3 months ago
Towards Less Supervision in Activity Recognition from Wearable Sensors
Activity Recognition has gained a lot of interest in recent years due to its potential and usefulness for context-aware wearable computing. However, most approaches for activity r...
Tâm Huynh, Bernt Schiele
SIGMOD
2003
ACM
190views Database» more  SIGMOD 2003»
15 years 2 months ago
Extracting Structured Data from Web Pages
Many web sites contain large sets of pages generated using a common template or layout. For example, Amazon lays out the author, title, comments, etc. in the same way in all its b...
Arvind Arasu, Hector Garcia-Molina