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NIPS
2001
14 years 11 months ago
Categorization by Learning and Combining Object Parts
We describe an algorithm for automatically learning discriminative components of objects with SVM classifiers. It is based on growing image parts by minimizing theoretical bounds ...
Bernd Heisele, Thomas Serre, Massimiliano Pontil, ...
WCE
2007
14 years 11 months ago
A Neural Network Approach to Objective Evaluation of Seam Pucker
—Seam pucker grade is one of the most important quality parameters in garments manufacturing industry. At present, seam pucker is usually evaluated by human inspectors, which is ...
K. L. Mak, Wei Li
PRL
2007
163views more  PRL 2007»
14 years 9 months ago
A model based approach for pose estimation and rotation invariant object matching
Pose estimation has been considered to be an important component in many pattern recognition and computer vision systems. In this paper, we introduce a pose estimation method base...
Cem Ünsalan
ISVC
2010
Springer
14 years 8 months ago
An Improved Shape Matching Algorithm for Deformable Objects Using a Global Image Feature
Abstract. We propose an improved shape matching algorithm that extends the work of Felzenszwalb [3]. In this approach, we use triangular meshes to represent deformable objects and ...
Jibum Kim, Suzanne M. Shontz
ICST
2008
IEEE
15 years 4 months ago
Testing Consequences of Grime Buildup in Object Oriented Design Patterns
Evidence suggests that as software ages the original realizations of design patterns remain in place, and participants in design pattern realizations accumulate “grime” – no...
Clemente Izurieta, James M. Bieman