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» Combining Model Reductions
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SIGMETRICS
2002
ACM
15 years 2 months ago
Toward reducing processor simulation time via dynamic reduction of microarchitecture complexity
As processor microarchitectures continue to increase in complexity, so does the time required to explore the design space. Performing cycle
Jeanine Cook, Richard L. Oliver, Eric E. Johnson
ICASSP
2009
IEEE
15 years 10 months ago
Combining mixture weight pruning and quantization for small-footprint speech recognition
Semi-continuous acoustic models, where the output distributions for all Hidden Markov Model states share a common codebook of Gaussian density functions, are a well-known and prov...
David Huggins-Daines, Alexander I. Rudnicky
ECCV
2004
Springer
16 years 5 months ago
Transformation-Invariant Embedding for Image Analysis
Abstract. Dimensionality reduction is an essential aspect of visual processing. Traditionally, linear dimensionality reduction techniques such as principle components analysis have...
Ali Ghodsi, Jiayuan Huang, Dale Schuurmans
97
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WSC
1997
15 years 4 months ago
A New Variance-Reduction Technique for Regenerative Simulations of Markov Chains
We propose a new estimator for some performance measures obtained from a regenerative simulation of a discrete-time Markov chain. Our new estimator is based on the idea of generat...
James M. Calvin, Marvin K. Nakayama
IJAR
2008
95views more  IJAR 2008»
15 years 3 months ago
Rule reduction for efficient inferencing in similarity based reasoning
The two most important models of inferencing in approximate reasoning with fuzzy sets are Zadeh's Compositional Rule of Inference (CRI) and Similarity Based Reasoning (SBR). ...
Balasubramaniam Jayaram