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» Meta-Evaluation of Image Segmentation Using Machine Learning
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NIPS
2004
13 years 8 months ago
Using Machine Learning to Break Visual Human Interaction Proofs (HIPs)
Machine learning is often used to automatically solve human tasks. In this paper, we look for tasks where machine learning algorithms are not as good as humans with the hope of ga...
Kumar Chellapilla, Patrice Y. Simard
ECML
1998
Springer
13 years 11 months ago
Learning to Classify X-Ray Images Using Relational Learning
: Image understanding often requires extensive background knowledge. The problem addressed in this paper is such knowledge can be acquired. We discuss how relational machine learni...
Claude Sammut, Tatjana Zrimec
MIA
2011
111views more  MIA 2011»
13 years 2 months ago
Segmenting the prostate and rectum in CT imagery using anatomical constraints
The automatic segmentation of the prostate and rectum from 3-D computed tomography (CT) images is still a challenging problem, and is critical for image-guided therapy application...
Siqi Chen, D. Michael Lovelock, Richard J. Radke
CLEIEJ
2008
82views more  CLEIEJ 2008»
13 years 7 months ago
Postal Envelope Segmentation using Learning-Based Approach
This paper presents a learning-based approach to segment postal address blocks where the learning step uses only one pair of images (a sample image and its ideal segmented solutio...
Horacio Andrés Legal-Ayala, Jacques Facon, ...
NAACL
2010
13 years 5 months ago
Is Arabic Part of Speech Tagging Feasible Without Word Segmentation?
In this paper, we compare two novel methods for part of speech tagging of Arabic without the use of gold standard word segmentation but with the full POS tagset of the Penn Arabic...
Emad Mohamed, Sandra Kübler