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» Learning to Classify X-Ray Images Using Relational Learning
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WWW
2007
ACM
14 years 9 months ago
Hierarchical, perceptron-like learning for ontology-based information extraction
Recent work on ontology-based Information Extraction (IE) has tried to make use of knowledge from the target ontology in order to improve semantic annotation results. However, ver...
Yaoyong Li, Kalina Bontcheva
PAMI
2008
270views more  PAMI 2008»
13 years 8 months ago
Randomized Clustering Forests for Image Classification
This paper introduces three new contributions to the problems of image classification and image search. First, we propose a new image patch quantization algorithm. Other competitiv...
Frank Moosmann, Eric Nowak, Frédéric...
CVPR
2009
IEEE
1453views Computer Vision» more  CVPR 2009»
15 years 29 days ago
Learning Photometric Invariance From Diversified Color Model Ensembles
Color is a powerful visual cue for many computer vision applications such as image segmentation and object recognition. However, most of the existing color models depend on the i...
Jose M. Alvarez, Theo Gevers, Antonio M. Lopez
CVPR
2008
IEEE
14 years 10 months ago
Estimating age, gender, and identity using first name priors
Recognizing people in images is one of the foremost challenges in computer vision. It is important to remember that consumer photography has a highly social aspect. The photograph...
Andrew C. Gallagher, Tsuhan Chen
INCDM
2010
Springer
146views Data Mining» more  INCDM 2010»
14 years 22 days ago
Learning from Humanoid Cartoon Designs
Abstract. Character design is a key ingredient to the success of any comicbook, graphic novel, or animated feature. Artists typically use shape, size and proportion as the first de...
Md. Tanvirul Islam, Kaiser Md. Nahiduzzaman, Why Y...