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ISCAS
2003
IEEE
131views Hardware» more  ISCAS 2003»
15 years 11 months ago
Process variation dimension reduction based on SVD
We propose an algorithm based on singular value decomposition (SVD) to reduce the number of process variation variables. With few process variation variables, fault simulation and...
Zhuo Li, Xiang Lu, Weiping Shi
MMDB
2003
ACM
178views Multimedia» more  MMDB 2003»
15 years 11 months ago
Video query processing in the VDBMS testbed for video database research
The increased use of video data sets for multimedia-based applications has created a demand for strong video database support, including efficient methods for handling the content...
Walid G. Aref, Moustafa A. Hammad, Ann Christine C...
GLVLSI
2010
IEEE
171views VLSI» more  GLVLSI 2010»
15 years 11 months ago
Timing-driven variation-aware nonuniform clock mesh synthesis
Clock skew variations adversely affect timing margins, limiting performance, reducing yield, and may also lead to functional faults. Non-tree clock distribution networks, such as ...
Ameer Abdelhadi, Ran Ginosar, Avinoam Kolodny, Eby...
GECCO
2010
Springer
168views Optimization» more  GECCO 2010»
15 years 11 months ago
Investigating whether hyperNEAT produces modular neural networks
HyperNEAT represents a class of neuroevolutionary algorithms that captures some of the power of natural development with a ionally efficient high-level abstraction of development....
Jeff Clune, Benjamin E. Beckmann, Philip K. McKinl...
SIGMOD
1999
ACM
183views Database» more  SIGMOD 1999»
15 years 10 months ago
OPTICS: Ordering Points To Identify the Clustering Structure
Cluster analysis is a primary method for database mining. It is either used as a stand-alone tool to get insight into the distribution of a data set, e.g. to focus further analysi...
Mihael Ankerst, Markus M. Breunig, Hans-Peter Krie...
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