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EMNLP
2010
13 years 6 months ago
Training Continuous Space Language Models: Some Practical Issues
Using multi-layer neural networks to estimate the probabilities of word sequences is a promising research area in statistical language modeling, with applications in speech recogn...
Hai Son Le, Alexandre Allauzen, Guillaume Wisniews...
DAC
2006
ACM
14 years 9 months ago
Process variation aware OPC with variational lithography modeling
Optical proximity correction (OPC) is one of the most widely used resolution enhancement techniques (RET) in nanometer designs to improve subwavelength printability. Conventional ...
Peng Yu, Sean X. Shi, David Z. Pan
NIPS
2003
13 years 9 months ago
Computing Gaussian Mixture Models with EM Using Equivalence Constraints
Density estimation with Gaussian Mixture Models is a popular generative technique used also for clustering. We develop a framework to incorporate side information in the form of e...
Noam Shental, Aharon Bar-Hillel, Tomer Hertz, Daph...
UML
1999
Springer
14 years 8 days ago
Core Meta-Modelling Semantics of UML: The pUML Approach
Abstract. The current UML semantics documentation has made a signi cant step towards providing a precise description of the UML. However, at present the semantic model it proposes ...
Andy Evans, Stuart Kent
DAGM
2008
Springer
13 years 9 months ago
Switching Linear Dynamic Models for Noise Robust In-Car Speech Recognition
Performance of speech recognition systems strongly degrades in the presence of background noise, like the driving noise in the interior of a car. We compare two different Kalman fi...
Björn Schuller, Martin Wöllmer, Tobias M...