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» Meta-Evaluation of Image Segmentation Using Machine Learning
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CVPR
2012
IEEE
11 years 10 months ago
The role of image understanding in contour detection
Many cues have been proposed for contour detection or image segmentation. These include low-level image gradients to high-level information such as the identity of the objects in ...
C. Lawrence Zitnick, Devi Parikh
CVPR
2012
IEEE
11 years 10 months ago
The use of on-line co-training to reduce the training set size in pattern recognition methods: Application to left ventricle seg
The use of statistical pattern recognition models to segment the left ventricle of the heart in ultrasound images has gained substantial attention over the last few years. The mai...
Gustavo Carneiro, Jacinto C. Nascimento
CVBIA
2005
Springer
14 years 1 months ago
Segmenting Brain Tumors with Conditional Random Fields and Support Vector Machines
Abstract. Markov Random Fields (MRFs) are a popular and wellmotivated model for many medical image processing tasks such as segmentation. Discriminative Random Fields (DRFs), a dis...
Chi-Hoon Lee, Mark Schmidt, Albert Murtha, Aalo Bi...
ADC
2008
Springer
94views Database» more  ADC 2008»
13 years 9 months ago
Content-based Image Retrieval Using Image Regions as Query Examples
A common approach to content-based image retrieval is to use example images as queries; images in the collection that have low-level features similar to the query examples are ret...
D. N. F. Awang Iskandar, James A. Thom, Seyed M. M...
SOUPS
2009
ACM
14 years 2 months ago
Machine learning attacks against the Asirra CAPTCHA
The ASIRRA CAPTCHA [6], recently proposed at ACM CCS 2007, relies on the problem of distinguishing images of cats and dogs (a task that humans are very good at). The security of AS...
Philippe Golle