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» Shape Discovery from Unlabeled Image Collections
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ISBI
2007
IEEE
14 years 4 months ago
Multi-View Stereo Reconstruction of Total Knee Replacement from X-Rays
In total knee replacement surgery, also known as total knee arthroplasty, prosthetics are implanted in the knee joint as treatment for progressive diseases such as arthritis or tr...
Kush R. Varshney, Nikos Paragios, Alain Kulski, Re...
TMI
2010
182views more  TMI 2010»
13 years 8 months ago
A Bayesian Mixture Approach to Modeling Spatial Activation Patterns in Multisite fMRI Data
Abstract—We propose a probabilistic model for analyzing spatial activation patterns in multiple functional magnetic resonance imaging (fMRI) activation images such as repeated ob...
Seyoung Kim, Padhraic Smyth, Hal S. Stern
CVPR
2009
IEEE
15 years 4 months ago
D - Clutter: Building object model library from unsupervised segmentation of cluttered scenes
Autonomous systems which learn and utilize a limited visual vocabulary have wide spread applications. Enabling such systems to segment a set of cluttered scenes into objects is ...
Chandra Kambhamettu, Dimitris N. Metaxas, Gowri So...
ICDM
2006
IEEE
110views Data Mining» more  ICDM 2006»
14 years 3 months ago
Manifold Clustering of Shapes
Shape clustering can significantly facilitate the automatic labeling of objects present in image collections. For example, it could outline the existing groups of pathological ce...
Dragomir Yankov, Eamonn J. Keogh
SCALESPACE
2009
Springer
14 years 4 months ago
Computational Geometry-Based Scale-Space and Modal Image Decomposition
In this paper a framework for defining scale-spaces, based on the computational geometry concepts of α-shapes, is proposed. In this approach, objects (curves or surfaces) of incr...
Anatole Chessel, Bertrand Cinquin, Sabine Bardin, ...