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» Intelligent Selection of Language Model Training Data
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ICASSP
2008
IEEE
15 years 11 months ago
Target-oriented phone tokenizers for spoken language recognition
This paper presents a new strategy for designing the parallel phone recognizers for spoken language recognition. Given a collection of parallel phone recognizers, we select a subs...
Rong Tong, Bin Ma, Haizhou Li, Engsiong Chng
ICCV
2009
IEEE
15 years 2 months ago
Robust facial feature tracking using selected multi-resolution linear predictors
This paper proposes a learnt data-driven approach for accurate, real-time tracking of facial features using only intensity information. Constraints such as a-priori shape models o...
Eng-Jon Ong, Yuxuan Lan, Barry Theobald, Richard H...
147
Voted
KDD
2006
ACM
155views Data Mining» more  KDD 2006»
16 years 5 months ago
Single-pass online learning: performance, voting schemes and online feature selection
To learn concepts over massive data streams, it is essential to design inference and learning methods that operate in real time with limited memory. Online learning methods such a...
Vitor R. Carvalho, William W. Cohen
AUSAI
2004
Springer
15 years 10 months ago
A Learning-Based Algorithm Selection Meta-reasoner for the Real-Time MPE Problem
Abstract. The algorithm selection problem aims to select the best algorithm for an input problem instance according to some characteristics of the instance. This paper presents a l...
Haipeng Guo, William H. Hsu
DS
2001
118views Database» more  DS 2001»
15 years 6 months ago
Constraints as Mobile Specifications in E-Commerce Applications
We show how quantified constraints expressed in a sub-language of first-order logic, againstashareddatamodelthatisfreetoevolve, provideanexcellentwayof transporting domain-specific...
Kit-ying Hui, Peter M. D. Gray, Graham J. L. Kemp,...