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ASPDAC
2004
ACM
79views Hardware» more  ASPDAC 2004»
16 years 8 days ago
Enhancing the performance of multi-cycle path analysis in an industrial setting
Abstract— In this paper we enhance the performance of multicycle path analysis in an industrial setting. Industrial designs are, in general, more complicated, but contain more in...
Hiroyuki Higuchi, Yusuke Matsunaga
ICMLA
2010
15 years 4 months ago
Classification Models with Global Constraints for Ordinal Data
Ordinal classification is a form of multi-class classification where there is an inherent ordering between the classes, but not a meaningful numeric difference between them. Althou...
Jaime S. Cardoso, Ricardo Sousa
HICSS
2002
IEEE
153views Biometrics» more  HICSS 2002»
15 years 11 months ago
Technology Supported Learning Applied to an Innovative, Integrated Curriculum for First-Year Engineering Majors
In September of 1998, the College of Engineering at the University of Massachusetts Dartmouth piloted an innovative, integrated, first-year curriculum. It dramatically changed 31 ...
Paul J. Fortier, Emily Fowler, Raymond N. Laoulach...
KDD
2008
ACM
159views Data Mining» more  KDD 2008»
16 years 7 months ago
Semi-supervised learning with data calibration for long-term time series forecasting
Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
Haibin Cheng, Pang-Ning Tan
PR
2007
151views more  PR 2007»
15 years 6 months ago
Learning to display high dynamic range images
In this paper, we present a learning-based image processing technique. We have developed a novel method to map high dynamic range scenes to low dynamic range images for display in...
Guoping Qiu, Jiang Duan, Graham D. Finlayson