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» Extracting moving regions from spatial data
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TMM
2008
167views more  TMM 2008»
15 years 14 days ago
Mining Appearance Models Directly From Compressed Video
In this paper, we propose an approach to learning appearance models of moving objects directly from compressed video. The appearance of a moving object changes dynamically in vide...
Datong Chen, Qiang Liu, Mingui Sun, Jie Yang
86
Voted
ICIP
2005
IEEE
16 years 2 months ago
A classification approach for anatomical regions segmentation
In this paper, a supervised pixel-based classifier approach for segmenting different anatomical regions in abdominal Computed Tomography (CT) studies is presented. The approach co...
Mikhail Kalinin, Daniela Stan Raicu, Jacob D. Furs...
96
Voted
NIPS
2003
15 years 1 months ago
Wormholes Improve Contrastive Divergence
In models that define probabilities via energies, maximum likelihood learning typically involves using Markov Chain Monte Carlo to sample from the model’s distribution. If the ...
Geoffrey E. Hinton, Max Welling, Andriy Mnih
92
Voted
ISBI
2006
IEEE
16 years 1 months ago
Shape vs. volume: invariant shape descriptors for 3D region of interest characterization in MRI
We propose a new approach for quantifying regions of interest (ROIs) in medical image data. Rotationally invariant shape descriptors (ISDs) were applied to 3D brain regions extrac...
Sina Tootoonian, Rafeef Abugharbieh, Xuemei Huan H...
102
Voted
MICCAI
2007
Springer
16 years 1 months ago
Characterizing Task-Related Temporal Dynamics of Spatial Activation Distributions in fMRI BOLD Signals
We present a new functional magnetic resonance imaging (fMRI) analysis method that incorporates both spatial and temporal dynamics of bloodoxygen-level dependent (BOLD) signals wit...
Bernard Ng, Rafeef Abugharbieh, Samantha J. Palmer...