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» An Approach to Classify Semi-structured Objects
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BMCBI
2004
79views more  BMCBI 2004»
13 years 7 months ago
A new mixture model approach to analyzing allelic-loss data using Bayes factors
Background: Allelic-loss studies record data on the loss of genetic material in tumor tissue relative to normal tissue at various loci along the genome. As the deletion of a tumor...
Manisha Desai, Mary J. Emond
EDM
2009
125views Data Mining» more  EDM 2009»
13 years 5 months ago
A Data Mining Approach to Reveal Representative Collaboration Indicators in Open Collaboration Frameworks
Data mining methods are successful in educational environments to discover new knowledge or learner skills or features. Unfortunately, they have not been used in depth with collabo...
Antonio R. Anaya, Jesus Boticario
IROS
2007
IEEE
128views Robotics» more  IROS 2007»
14 years 2 months ago
Exploiting similarities for robot perception
— A cognitive robot system has to acquire and efficiently store vast knowledge about the world it operates in. To cope with every day tasks, a robot needs to learn, classify and...
Kai Welke, Erhan Oztop, Gordon Cheng, Rüdiger...
VMV
2008
107views Visualization» more  VMV 2008»
13 years 9 months ago
Learning with Few Examples using a Constrained Gaussian Prior on Randomized Trees
Machine learning with few training examples always leads to over-fitting problems, whereas human individuals are often able to recognize difficult object categories from only one ...
Erik Rodner, Joachim Denzler
CVPR
2008
IEEE
14 years 9 months ago
Latent topic random fields: Learning using a taxonomy of labels
An important problem in image labeling concerns learning with images labeled at varying levels of specificity. We propose an approach that can incorporate images with labels drawn...
Xuming He, Richard S. Zemel