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TASLP
2010
97views more  TASLP 2010»
15 years 1 months ago
Hierarchical Bayesian Language Models for Conversational Speech Recognition
Traditional n-gram language models are widely used in state-of-the-art large vocabulary speech recognition systems. This simple model suffers from some limitations, such as overfi...
Songfang Huang, Steve Renals
ICASSP
2011
IEEE
14 years 10 months ago
Subsequence similarity language models
In this work we present the Subsequence Similarity Language Model (S2-LM) which is a new approach to language modeling based on string similarity. As a language model, S2-LM gener...
Juan M. Huerta
ICIP
2004
IEEE
16 years 8 months ago
Sparse representation of images with hybrid linear models
We propose a mixture of multiple linear models, also known as hybrid linear model, for a sparse representation of an image. This is a generalization of the conventional KarhunenLo...
Kun Huang, Allen Y. Yang, Yi Ma
CADE
2004
Springer
16 years 7 months ago
Model Checking Using Tabled Rewriting
LRR [3] is a rewriting system developed at the Computer Science Department of University of Houston. LRR has two subsystems: Smaran (for tabled rewriting), and TGR (for untabled re...
Zhiyao Liang
ICDM
2008
IEEE
112views Data Mining» more  ICDM 2008»
16 years 1 months ago
Supervised Inductive Learning with Lotka-Volterra Derived Models
We present a classification algorithm built on our adaptation of the Generalized Lotka-Volterra model, well-known in mathematical ecology. The training algorithm itself consists ...
Karen Hovsepian, Peter Anselmo, Subhasish Mazumdar