Non parametric, self organizing, scalable modeling of spatiotemporal inputs: The sign language paradigm
- 1 December 2012
- journal article
- research article
- Published by Elsevier BV in Neural Networks
- Vol. 36, 157-166
- https://doi.org/10.1016/j.neunet.2012.10.001
Abstract
No abstract availableKeywords
This publication has 40 references indexed in Scilit:
- SOMM: Self organizing Markov map for gesture recognitionPattern Recognition Letters, 2010
- Learning signs from subtitles: A weakly supervised approach to sign language recognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2009
- Geodesic active regions for segmentation and tracking of human gestures in sign language videosPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2008
- GSLC: Creation and Annotation of a Greek Sign Language Corpus for HCILecture Notes in Computer Science, 2007
- Large Lexicon Detection of Sign LanguagePublished by Springer Science and Business Media LLC ,2006
- Video-based sign recognition using self-organizing subunitsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Signer-independent sign language recognition based on SOFM/HMMPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2001
- Appearance-Based Hand Sign Recognition from Intensity Image SequencesComputer Vision and Image Understanding, 2000
- Relevant features for video-based continuous sign language recognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2000
- Video-based continuous sign language recognition using statistical methodsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2000