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» Kernels for Global Constraints
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IJON
2006
103views more  IJON 2006»
15 years 1 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 ...
IJCNN
2006
IEEE
15 years 8 months ago
Sparse Optimization for Second Order Kernel Methods
— We present a new optimization procedure which is particularly suited for the solution of second-order kernel methods like e.g. Kernel-PCA. Common to these methods is that there...
Roland Vollgraf, Klaus Obermayer
TNN
2008
129views more  TNN 2008»
15 years 1 months ago
Data Visualization and Dimensionality Reduction Using Kernel Maps With a Reference Point
In this paper, a new kernel-based method for data visualization and dimensionality reduction is proposed. A reference point is considered corresponding to additional constraints ta...
Johan A. K. Suykens
ISPD
1999
ACM
92views Hardware» more  ISPD 1999»
15 years 6 months ago
Crosstalk constrained global route embedding
- Route Embedding, a new method for mitigating the impact of crosstalk, is presented. It modifies a set of global-route structures to prevent timing and noise-margin violations ca...
Phiroze N. Parakh, Richard B. Brown
GCB
1997
Springer
74views Biometrics» more  GCB 1997»
15 years 6 months ago
Using constraint programming for lattice protein folding
We present a global search technique for nding the global minimal conformation of a sequence in Dill's HP-lattice model5;6 . The HP-lattice model is a simpli ed model of prot...
Rolf Backofen