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VLSISP
1998
111views more  VLSISP 1998»
15 years 6 months ago
Quantitative Analysis of MR Brain Image Sequences by Adaptive Self-Organizing Finite Mixtures
This paper presents an adaptive structure self-organizing finite mixture network for quantification of magnetic resonance (MR) brain image sequences. We present justification fo...
Yue Wang, Tülay Adali, Chi-Ming Lau, Sun-Yuan...
IJCV
2010
168views more  IJCV 2010»
15 years 5 months ago
Baselines for Image Annotation
Automatically assigning keywords to images is of great interest as it allows one to retrieve, index, organize and understand large collections of image data. Many techniques have b...
Ameesh Makadia, Vladimir Pavlovic, Sanjiv Kumar
ICIAR
2010
Springer
15 years 4 months ago
Image Segmentation for Robots: Fast Self-adapting Gaussian Mixture Model
Image segmentation is a critical low-level visual routine for robot perception. However, most image segmentation approaches are still too slow to allow real-time robot operation. I...
Nicola Greggio, Alexandre Bernardino, José ...
CVPR
2011
IEEE
15 years 4 months ago
Unsupervised Auxiliary Visual Words Discovery for Large-Scale Image Object Retrieval
Image object retrieval – locating image occurrences of specific objects in large-scale image collections – is essential for manipulating the sheer amount of photos. Current s...
Yin-Hsi Kuo, Hsuan-Tien Lin, Wen-Huang Cheng, Yi-H...
CORIA
2010
15 years 1 months ago
Spatio-Temporal Modeling for Knowledge Discovery in Satellite Image Databases
Knowledge discovery from satellite images in spatio-temporal context remains one of the major challenges in the remote sensing field. It is, always, difficult for a user to manuall...
Wadii Boulila, Imed Riadh Farah, Karim Saheb Ettab...