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 ...
— 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...
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...
- 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...
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...