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» Robust locally linear embedding
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WSC
2004
14 years 11 months ago
Agent - Based Model of Auftragstaktik: Self Organization in Command and Control of Future Combat Forces
Agent-based modeling is a framework that allows the analysis of distributed command-by-influence using mission-type orders known for over a century as Auftragstaktik in German Arm...
Robert H. Kewley
ACMACE
2008
ACM
14 years 11 months ago
Dimensionality reduced HRTFs: a comparative study
Dimensionality reduction is a statistical tool commonly used to map high-dimensional data into lower a dimensionality. The transformed data is typically more suitable for regressi...
Bill Kapralos, Nathan Mekuz, Agnieszka Kopinska, S...
PKDD
2010
Springer
179views Data Mining» more  PKDD 2010»
14 years 7 months ago
Learning an Affine Transformation for Non-linear Dimensionality Reduction
The foremost nonlinear dimensionality reduction algorithms provide an embedding only for the given training data, with no straightforward extension for test points. This shortcomin...
Pooyan Khajehpour Tadavani, Ali Ghodsi
IJON
2006
103views more  IJON 2006»
14 years 9 months ago
Kernel extrapolation
We present a framework for efficient extrapolation of reduced rank approximations, graph kernels, and locally linear embeddings (LLE) to unseen data. We also present a principled ...
S. V. N. Vishwanathan, Karsten M. Borgwardt, Omri ...
MM
2006
ACM
203views Multimedia» more  MM 2006»
15 years 3 months ago
Learning image manifolds by semantic subspace projection
In many image retrieval applications, the mapping between highlevel semantic concept and low-level features is obtained through a learning process. Traditional approaches often as...
Jie Yu, Qi Tian