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» Kernels for Global Constraints
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IJON
2006
103views more  IJON 2006»
13 years 7 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
14 years 1 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»
13 years 7 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»
14 years 2 days 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»
13 years 12 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