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AVSS
2006
IEEE
15 years 9 months ago
A Smith-Waterman Local Alignment Approach for Spatial Activity Recognition
In this paper we address the spatial activity recognition problem with an algorithm based on Smith-Waterman (SW) local alignment. The proposed SW approach utilises dynamic program...
Daniel E. Riedel, Svetha Venkatesh, Wanquan Liu
ISBI
2009
IEEE
15 years 10 months ago
Improving M/EEG Source Localization with an Inter-Condition Sparse Prior
The inverse problem with distributed dipoles models in M/EEG is strongly ill-posed requiring to set priors on the solution. Most common priors are based on a convenient ℓ2 norm....
Alexandre Gramfort, Matthieu Kowalski
142
Voted
DSD
2006
IEEE
113views Hardware» more  DSD 2006»
15 years 9 months ago
Lifetime Analysis in Heterogeneous Sensor Networks
Wireless sensor networks (WSN) are composed of battery-driven communication entities performing multiple, usually different tasks. In order to complete a given task, all sensor no...
Falko Dressler, Isabel Dietrich
157
Voted
PR
2008
159views more  PR 2008»
15 years 3 months ago
A two-stage head pose estimation framework and evaluation
Head pose is an important indicator of a person's focus of attention. Also, head pose estimation can be used as the front-end analysis for multi-view face analysis. For examp...
Junwen Wu, Mohan M. Trivedi
145
Voted
MM
2004
ACM
248views Multimedia» more  MM 2004»
15 years 9 months ago
Incremental semi-supervised subspace learning for image retrieval
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
Xiaofei He