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» Modeling Signs Using Functional Data Analysis
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VLSISP
2010
191views more  VLSISP 2010»
13 years 2 months ago
Sign Language Phoneme Transcription with Rule-based Hand Trajectory Segmentation
A common approach to extract phonemes of sign language is to use an unsupervised clustering algorithm to group the sign segments. However, simple clustering algorithms based on dis...
W. W. Kong, Surendra Ranganath
FQAS
2006
Springer
106views Database» more  FQAS 2006»
13 years 11 months ago
A Functional Model for Data Analysis
We present a functional model for the analysis of large volumes of detailed transactional data, accumulated over time. In our model, the data schema is an acyclic graph with a sing...
Nicolas Spyratos
ECCV
2004
Springer
14 years 9 months ago
A Linguistic Feature Vector for the Visual Interpretation of Sign Language
Abstract. This paper presents a novel approach to sign language recognition that provides extremely high classification rates on minimal training data. Key to this approach is a 2 ...
Richard Bowden, David Windridge, Timor Kadir, Andr...
HCI
2001
13 years 8 months ago
Analysis of haptic data for sign language recognition
: For the past two years we have been addressing the challenges involved in managing the data generated within immersive environments. We together with many other researchers have ...
Cyrus Shahabi, Leila Kaghazian, Soham Mehta, Amol ...
AIME
2007
Springer
14 years 1 months ago
Predictive Modeling of fMRI Brain States Using Functional Canonical Correlation Analysis
We present a novel method for predictive modeling of human brain states from functional neuroimaging (fMRI) data. Extending the traditional canonical correlation analysis of discre...
Sennay Ghebreab, Arnold W. M. Smeulders, Pieter W....