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EMSOFT
2007
Springer
14 years 3 months ago
Methods for multi-dimensional robustness optimization in complex embedded systems
Design space exploration of embedded systems typically focuses on classical design goals such as cost, timing, buffer sizes, and power consumption. Robustness criteria, i.e. sensi...
Arne Hamann, Razvan Racu, Rolf Ernst
KBSE
2005
IEEE
14 years 2 months ago
Automated population of causal models for improved software risk assessment
Recent work in applying causal modeling (Bayesian networks) to software engineering has resulted in improved decision support systems for software project managers. Once the causa...
Peter Hearty, Norman E. Fenton, Martin Neil, Patri...
CVPR
2006
IEEE
14 years 11 months ago
Dimensionality Reduction by Learning an Invariant Mapping
Dimensionality reduction involves mapping a set of high dimensional input points onto a low dimensional manifold so that "similar" points in input space are mapped to ne...
Raia Hadsell, Sumit Chopra, Yann LeCun
CVPR
2008
IEEE
14 years 11 months ago
Clustering and dimensionality reduction on Riemannian manifolds
We propose a novel algorithm for clustering data sampled from multiple submanifolds of a Riemannian manifold. First, we learn a representation of the data using generalizations of...
Alvina Goh, René Vidal
CGI
2006
IEEE
14 years 3 months ago
An Approximate Image-Space Approach for Real-Time Rendering of Deformable Translucent Objects
Although lots of works have been engaged in interactive and realistic rendering of translucent materials, efficient processing for deformable models remains a challenging problem...
Yi Gong, Wei Chen, Long Zhang, Yun Zeng, Qunsheng ...