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ECCV
2000
Springer
15 years 11 months ago
Diffeomorphic Matching Problems in One Dimension: Designing and Minimizing Matching Functionals
This paper focuses on matching 1D structures by variational methods. We provide rigorous rules for the construction of the cost function, on the basis of an analysis of properties ...
Alain Trouvé, Laurent Younes
ICIP
2003
IEEE
15 years 11 months ago
An integrated algorithm of incremental and robust PCA
Principal Component Analysis (PCA) is a well-established technique in image processing and pattern recognition. Incremental PCA and robust PCA are two interesting problems with nu...
Yongmin Li Li, Li-Qun Xu, Jason Morphett, Richard ...
KDD
2009
ACM
166views Data Mining» more  KDD 2009»
15 years 10 months ago
Measuring the effects of preprocessing decisions and network forces in dynamic network analysis
Social networks have become a major focus of research in recent years, initially directed towards static networks but increasingly, towards dynamic ones. In this paper, we investi...
Jerry Scripps, Pang-Ning Tan, Abdol-Hossein Esfaha...
ICDM
2003
IEEE
181views Data Mining» more  ICDM 2003»
15 years 2 months ago
Dynamic Weighted Majority: A New Ensemble Method for Tracking Concept Drift
Algorithms for tracking concept drift are important for many applications. We present a general method based on the Weighted Majority algorithm for using any online learner for co...
Jeremy Z. Kolter, Marcus A. Maloof
75
Voted
CCE
2006
14 years 9 months ago
Parameter estimation in continuous-time dynamic models using principal differential analysis
Principal differential analysis (PDA) is an alternative parameter estimation technique for differential equation models in which basis functions (e.g., B-splines) are fitted to dy...
A. A. Poyton, M. S. Varziri, K. B. McAuley, P. J. ...