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TVLSI
2008
176views more  TVLSI 2008»
13 years 5 months ago
A Fuzzy Optimization Approach for Variation Aware Power Minimization During Gate Sizing
Abstract--Technology scaling in the nanometer era has increased the transistor's susceptibility to process variations. The effects of such variations are having a huge impact ...
Venkataraman Mahalingam, N. Ranganathan, J. E. Har...
NIPS
1992
13 years 7 months ago
Network Structuring and Training Using Rule-Based Knowledge
We demonstrate in this paper how certain forms of rule-based knowledge can be used to prestructure a neural network of normalized basis functions and give a probabilistic interpre...
Volker Tresp, Jürgen Hollatz, Subutai Ahmad
FLAIRS
2004
13 years 7 months ago
State Space Reduction For Hierarchical Reinforcement Learning
er provides new techniques for abstracting the state space of a Markov Decision Process (MDP). These techniques extend one of the recent minimization models, known as -reduction, ...
Mehran Asadi, Manfred Huber
TCSV
2002
161views more  TCSV 2002»
13 years 5 months ago
Blocking artifact detection and reduction in compressed data
A novel frequency-domain technique for image blocking artifact detection and reduction is presented in this paper. The algorithm first detects the regions of the image which presen...
George A. Triantafyllidis, Dimitrios Tzovaras, Mic...
ISPD
2000
ACM
131views Hardware» more  ISPD 2000»
13 years 10 months ago
Multi-center congestion estimation and minimization during placement
As technology advances, more and more issues need to be considered in the placement stage, e.g., wirelength, congestion, timing, coupling. It is very hard to consider all of them ...
Maogang Wang, Xiaojian Yang, Kenneth Eguro, Majid ...