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» Sparseness Achievement in Hidden Markov Models
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AMI
2009
Springer
13 years 10 months ago
Sensor-Based Human Activity Recognition in a Multi-user Scenario
Existing work on sensor-based activity recognition focuses mainly on single-user activities. However, in real life, activities are often performed by multiple users involving inter...
Liang Wang, Tao Gu, XianPing Tao, Jian Lu
ICMCS
2010
IEEE
164views Multimedia» more  ICMCS 2010»
13 years 7 months ago
Exploiting multimodal data fusion in robust speech recognition
This article introduces automatic speech recognition based on Electro-Magnetic Articulography (EMA). Movements of the tongue, lips, and jaw are tracked by an EMA device, which are...
Panikos Heracleous, Pierre Badin, Gérard Ba...
ICASSP
2011
IEEE
12 years 11 months ago
A study of an irrelevant variability normalization based discriminative training approach for LVCSR
This paper presents a discriminative training (DT) approach to irrelevant variability normalization (IVN) based training of feature transforms and hidden Markov models for large v...
Yu Zhang, Jian Xu, Zhi-Jie Yan, Qiang Huo
ICDAR
2005
IEEE
14 years 1 months ago
Enhancing Training Data for Handwriting Recognition of Whiteboard Notes with Samples from a Different Database
Recognition of unconstrained handwritten text is still a challenge. In this paper we consider a new problem, which is the recognition of notes written on a whiteboard. Our recogni...
Marcus Liwicki, Horst Bunke
ECML
2006
Springer
13 years 11 months ago
TildeCRF: Conditional Random Fields for Logical Sequences
Abstract. Conditional Random Fields (CRFs) provide a powerful instrument for labeling sequences. So far, however, CRFs have only been considered for labeling sequences over flat al...
Bernd Gutmann, Kristian Kersting