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NIPS
2008
13 years 10 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
ICCV
2007
IEEE
14 years 11 months ago
Articulated Shape Matching by Robust Alignment of Embedded Representations
In this paper we propose a general framework to solve the articulated shape matching problem, formulated as finding point-to-point correspondences between two shapes represented b...
Diana Mateus, Fabio Cuzzolin, Radu Horaud, Edmond ...
MICCAI
2009
Springer
14 years 10 months ago
Building Shape Models from Lousy Data
Statistical shape models have gained widespread use in medical image analysis. In order for such models to be statistically meaningful, a large number of data sets have to be inclu...
Marcel Lüthi, Thomas Albrecht, Thomas Vetter
AEI
2004
87views more  AEI 2004»
13 years 8 months ago
Estimating the productivity of cyclic construction operations using case-based reasoning
The estimation of productivity rates in cyclic construction processes is a difficult, but essential task in the planning of construction projects. The conventional method--a calcu...
Darren Graham, Simon D. Smith
JCDL
2009
ACM
154views Education» more  JCDL 2009»
14 years 3 months ago
An alignment based system for chord sequence retrieval
Music retrieval systems for Western tonal music digital libraries have to consider rhythmic, timbral, melodic and harmonic information. Most existing retrieval systems only take i...
Pierre Hanna, Matthias Robine, Thomas Rocher