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WSOM
2009
Springer
15 years 11 months ago
Incremental Unsupervised Time Series Analysis Using Merge Growing Neural Gas
We propose Merge Growing Neural Gas (MGNG) as a novel unsupervised growing neural network for time series analysis. MGNG combines the state-of-the-art recursive temporal context of...
Andreas Andreakis, Nicolai von Hoyningen-Huene, Mi...
IWMM
2009
Springer
122views Hardware» more  IWMM 2009»
15 years 11 months ago
Parametric heap usage analysis for functional programs
This paper presents an analysis that derives a formula describing the worst-case live heap space usage of programs in a functional language with automated memory management (garba...
Leena Unnikrishnan, Scott D. Stoller
ICPR
2008
IEEE
15 years 11 months ago
Semi-supervised marginal discriminant analysis based on QR decomposition
In this paper, a novel subspace learning method, semi-supervised marginal discriminant analysis (SMDA), is proposed for classification. SMDA aims at maintaining the intrinsic neig...
Rui Xiao, Pengfei Shi
131
Voted
CVRMED
1997
Springer
15 years 9 months ago
Geometric constraint analysis and synthesis: methods for improving shape-based registration accuracy
Shape-based registration is a process for estimating the transformation between two shape representations of an object. It is used in many image-guided surgical systems to establis...
David A. Simon, Takeo Kanade
166
Voted
PR
2008
129views more  PR 2008»
15 years 5 months ago
A comparison of generalized linear discriminant analysis algorithms
7 Linear discriminant analysis (LDA) is a dimension reduction method which finds an optimal linear transformation that maximizes the class separability. However, in undersampled p...
Cheong Hee Park, Haesun Park