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» A General Method for Feature Matching and Model Extraction
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NIPS
2008
15 years 4 months ago
Robust Kernel Principal Component Analysis
Kernel Principal Component Analysis (KPCA) is a popular generalization of linear PCA that allows non-linear feature extraction. In KPCA, data in the input space is mapped to highe...
Minh Hoai Nguyen, Fernando De la Torre
139
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WWW
2005
ACM
16 years 4 months ago
Web data extraction based on partial tree alignment
This paper studies the problem of extracting data from a Web page that contains several structured data records. The objective is to segment these data records, extract data items...
Yanhong Zhai, Bing Liu
SPIN
2007
Springer
15 years 9 months ago
Model Extraction for ARINC 653 Based Avionics Software
One of the most exciting and promising approaches to ensure the correctness of critical systems is software model checking, which considers real code, written with standard program...
Pedro de la Cámara, María-del-Mar Ga...
JMM2
2006
141views more  JMM2 2006»
15 years 3 months ago
Optimal Weighting of Landmarks for Face Recognition
A new method named Landmark Model Matching was recently proposed for fully automatic face recognition. It was inspired by Elastic Bunch Graph Matching and Active Shape Model. Landm...
Rajinda Senaratne, Saman K. Halgamuge
AIME
2005
Springer
15 years 9 months ago
Ontology-Driven Extraction of Linguistic Patterns for Modelling Clinical Guidelines
Evidence-based clinical guidelines require frequent updates due to research and technology advances. The quality of guideline updates can be improved if the knowledge underlying th...
Radu Serban, Annette ten Teije, Frank van Harmelen...