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220
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ICIP
2007
IEEE
15 years 7 months ago
Robust Multi-Modal Group Action Recognition in Meetings from Disturbed Videos with the Asynchronous Hidden Markov Model
The Asynchronous Hidden Markov Model (AHMM) models the joint likelihood of two observation sequences, even if the streams are not synchronised. We explain this concept and how the...
Marc Al-Hames, Claus Lenz, Stephan Reiter, Joachim...
203
Voted
PRIB
2009
Springer
135views Bioinformatics» more  PRIB 2009»
16 years 1 months ago
Sequential Hierarchical Pattern Clustering
Abstract. Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all p...
Bassam Farran, Amirthalingam Ramanan, Mahesan Nira...
ICAD
2004
15 years 8 months ago
A Toolkit for Interactive Sonification
This paper describes work-in-progress on an Interactive Sonification Toolkit which has been developed in order to aid the analysis of general data sets. The toolkit allows the des...
Sandra Pauletto, Andy Hunt
ICIP
2004
IEEE
16 years 9 months ago
Rate-distortion analysis of random access for compressed light fields
Image-based rendering data sets, such as light fields, require efficient compression due to their large data size, but also easy random access when rendering from the data set. Ef...
Prashant Ramanathan, Bernd Girod
148
Voted
LREC
2008
125views Education» more  LREC 2008»
15 years 8 months ago
Bootstrapping Language Description: the case of Mpiemo (Bantu A, Central African Republic)
Linguists have long been producing grammatical decriptions of yet undescribed languages. This is a time-consuming process, which has already adapted to improved technology for rec...
Harald Hammarström, Christina Thornell, Malin...