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ICML
2005
IEEE
14 years 9 months ago
Supervised dimensionality reduction using mixture models
Given a classification problem, our goal is to find a low-dimensional linear transformation of the feature vectors which retains information needed to predict the class labels. We...
Sajama, Alon Orlitsky
SFM
2007
Springer
14 years 3 months ago
Tackling Large State Spaces in Performance Modelling
Stochastic performance models provide a powerful way of capturing and analysing the behaviour of complex concurrent systems. Traditionally, performance measures for these models ar...
William J. Knottenbelt, Jeremy T. Bradley
ICASSP
2011
IEEE
13 years 22 days ago
Exploiting sparseness of backing-off language models for efficient look-ahead in LVCSR
In this paper, we propose a new method for computing and applying language model look-ahead in a dynamic network decoder, exploiting the sparseness of backing-off n-gram language ...
David Nolden, Hermann Ney, Ralf Schlüter
ICASSP
2011
IEEE
13 years 22 days ago
Rapid feature space MLLR speaker adaptation with bilinear models
In this paper, we propose a novel method for rapid feature space Maximum Likelihood Linear Regression (FMLLR) speaker adaptation based on bilinear models. When the amount of adapt...
Shilei Zhang, Peder A. Olsen, Yong Qin
IDEAS
2000
IEEE
117views Database» more  IDEAS 2000»
14 years 1 months ago
Path Query Reduction and Diffusion for Distributed Semi-Structured Data Retrieval
I n this paper, we address the problem of query processing o n distributed semi-structured data. The distributed semistructured data can be modeled as a rooted and edge-labeled gr...
Jaehyung Lee, Yon Dohn Chung, Myoung-Ho Kim