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» An Algorithm for the Reduction of Linear DAE
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PAMI
2007
154views more  PAMI 2007»
13 years 8 months ago
Graph Embedding and Extensions: A General Framework for Dimensionality Reduction
—Over the past few decades, a large family of algorithms—supervised or unsupervised; stemming from statistics or geometry theory—has been designed to provide different soluti...
Shuicheng Yan, Dong Xu, Benyu Zhang, HongJiang Zha...
DATE
2000
IEEE
142views Hardware» more  DATE 2000»
14 years 1 months ago
Power and Delay Reduction via Simultaneous Logic and Placement Optimization in FPGAs
Traditional FPGA design flows have treated logic synthesis and physical design as separate steps. With the recent advances in technology, the lack of information on the physical ...
Balakrishna Kumthekar, Fabio Somenzi
ISQED
2005
IEEE
120views Hardware» more  ISQED 2005»
14 years 2 months ago
Passive Hierarchical Model Order Reduction and Realization of RLCM Circuits
This paper presents a novel compact passive modeling technique for high-performance RF passives and interconnects modeled as high-order RLCM circuits. The new method is based on a...
Pu Liu, Zhenyu Qi, Sheldon X.-D. Tan
ICML
2004
IEEE
14 years 2 months ago
Learning a kernel matrix for nonlinear dimensionality reduction
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 ...
Kilian Q. Weinberger, Fei Sha, Lawrence K. Saul
JMLR
2006
148views more  JMLR 2006»
13 years 8 months ago
Computational and Theoretical Analysis of Null Space and Orthogonal Linear Discriminant Analysis
Dimensionality reduction is an important pre-processing step in many applications. Linear discriminant analysis (LDA) is a classical statistical approach for supervised dimensiona...
Jieping Ye, Tao Xiong