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» Recognizing Sign Language from Brain Imaging
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ISBI
2004
IEEE
16 years 14 days ago
Statistical Surface-Based Morphometry Using a Non-Parametric Approach
We present a novel method of statistical surface-based morphometry based on the use of non-parametric permutation tests. In order to evaluate morphologicaldifferences of brain str...
Dimitrios Pantazis, Richard M. Leahy, Thomas E. Ni...
SCALESPACE
2007
Springer
15 years 5 months ago
Piecewise Constant Level Set Method for 3D Image Segmentation
Level set methods have been proven to be efficient tools for tracing interface problems. Recently, some variants of the Osher- Sethian level set methods, which are called the Piece...
Are Losnegård, Oddvar Christiansen, Xue-Chen...
VIS
2009
IEEE
215views Visualization» more  VIS 2009»
16 years 29 days ago
Iconizer: A Framework to Identify and Create Effective Representations for Visual Information Encoding
concept form search query vision confirm consensus refine search query graphics VIE-designer image objects image objects Visual Sign (VIE) run search query words images Iconizer:...
Supriya Garg, Tamara Berg, Klaus Mueller
BMVC
2010
14 years 9 months ago
Local Gaussian Processes for Pose Recognition from Noisy Inputs
Gaussian processes have been widely used as a method for inferring the pose of articulated bodies directly from image data. While able to model complex non-linear functions, they ...
Martin Fergie, Aphrodite Galata
ICIP
2005
IEEE
15 years 5 months ago
HMM-based motion recognition system using segmented PCA
In this paper, we propose a novel technique for modelbased recognition of complex object motion trajectories using Hidden Markov Models (HMM). We build our models on Principal Com...
Faisal I. Bashir, Wei Qu, Ashfaq A. Khokhar, Dan S...