240 search results - page 11 / 48 » Robust Multi-Objective Optimization in High Dimensional Spac... |
ICCAD
2006
IEEE
15 years 6 months ago
2006
IEEE
An optimization algorithm for the design of combinational circuits that are robust to single-event upsets (SEUs) is described. A simple, highly accurate model for the SEU robustne...
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ICCV
2009
IEEE
16 years 2 months ago
2009
IEEE
We present a manifold learning approach to dimensionality
reduction that explicitly models the manifold as a mapping
from low to high dimensional space. The manifold is
represen...
ICCSA
2003
Springer
15 years 2 months ago
2003
Springer
Abstract. In this paper, an efficient speaker identification based on robust vector quantization principal component analysis (VQ-PCA) is proposed to solve the problems from outlie...
ICML
2004
IEEE
15 years 3 months ago
2004
IEEE
We investigate how to learn a kernel matrix for high dimensional data that lies on or near a low dimensional manifold. Noting that the kernel matrix implicitly maps the data into ...
120
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PAMI
2012
13 years 3 days ago
2012
Abstract—Given the size and confidence of pairwise local orderings, angular embedding (AE) finds a global ordering with a nearglobal optimal eigensolution. As a quadratic crite...