400 search results - page 21 / 80 » An Algorithm for the Reduction of Linear DAE |
80
Voted
PAMI
2007
14 years 9 months ago
2007
—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...
102
Voted
DATE
2000
IEEE
15 years 2 months ago
2000
IEEE
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 ...
ISQED
2005
IEEE
15 years 3 months ago
2005
IEEE
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...
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 ...
JMLR
2006
14 years 9 months ago
2006
Dimensionality reduction is an important pre-processing step in many applications. Linear discriminant analysis (LDA) is a classical statistical approach for supervised dimensiona...