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» Using Image Segmentation as a Basis for Categorization
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ECCV
2008
Springer
14 years 9 months ago
Weakly Supervised Object Localization with Stable Segmentations
Multiple Instance Learning (MIL) provides a framework for training a discriminative classifier from data with ambiguous labels. This framework is well suited for the task of learni...
Carolina Galleguillos, Boris Babenko, Andrew Rabin...
CVPR
2005
IEEE
14 years 9 months ago
A Sparse Support Vector Machine Approach to Region-Based Image Categorization
Automatic image categorization using low-level features is a challenging research topic in computer vision. In this paper, we formulate the image categorization problem as a multi...
Jinbo Bi, Yixin Chen, James Ze Wang
APGV
2004
ACM
179views Visualization» more  APGV 2004»
14 years 29 days ago
Example-based color stylization based on categorical perception
We describe a new computational approach to stylize the colors of an image by using a reference image. During processing, we take characteristics of human color perception into ac...
Youngha Chang, Keiji Uchikawa, Suguru Saito
MIA
2011
125views more  MIA 2011»
13 years 2 months ago
A review of segmentation methods in short axis cardiac MR images
For the last 15 years, Magnetic Resonance Imaging (MRI) has become a reference examination for cardiac morphology, function and perfusion in humans. Yet, due to the characteristic...
Caroline Petitjean, Jean-Nicolas Dacher
ICCV
2007
IEEE
14 years 9 months ago
Non-metric affinity propagation for unsupervised image categorization
Unsupervised categorization of images or image parts is often needed for image and video summarization or as a preprocessing step in supervised methods for classification, trackin...
Delbert Dueck, Brendan J. Frey