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» A Probability Model for Image Annotation
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ISBI
2006
IEEE
16 years 2 months ago
von Mises-Fisher mixture model of the diffusion ODF
High angular resolution diffusion imaging (HARDI) permits the computation of water molecule displacement probabilities over the sphere. This probability is often referred to as th...
Tim McGraw, Baba C. Vemuri, Robert Yezierski, Thom...
SCVMA
2004
Springer
15 years 7 months ago
On the Relationship Between Image and Motion Segmentation
Abstract. In this paper we present a generative model for image sequences, which can be applied to motion segmentation and tracking, and to image sequence compression. The model co...
Adrian Barbu, Song Chun Zhu
CVPR
2010
IEEE
15 years 10 months ago
Far-Sighted Active Learning on a Budget for Image and Video Recognition
Active learning methods aim to select the most informative unlabeled instances to label first, and can help to focus image or video annotations on the examples that will most impr...
Sudheendra Vijayanarasimhan, Prateek Jain, Kristen...
CVPR
2007
IEEE
16 years 3 months ago
What makes a good model of natural images?
Many low-level vision algorithms assume a prior probability over images, and there has been great interest in trying to learn this prior from examples. Since images are very non G...
Yair Weiss, William T. Freeman
CIBCB
2006
IEEE
15 years 8 months ago
A Novel Graphical Model Approach to Segmenting Cell Images
— Successful biological image analysis usually requires satisfactory segmentations to identify regions of interest as an intermediate step. Here we present a novel graphical mode...
Shann-Ching Chen, Ting Zhao, Geoffrey J. Gordon, R...