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» Learning from Multiple Annotators with Gaussian Processes
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153
Voted
CVPR
2012
IEEE
13 years 6 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
107
Voted
BMCBI
2006
179views more  BMCBI 2006»
15 years 3 months ago
Accurate and unambiguous tag-to-gene mapping in serial analysis of gene expression
Background: In this study, we present a robust and reliable computational method for tag-togene assignment in serial analysis of gene expression (SAGE). The method relies on curre...
Rodrigo Malig, Cristian Varela, Eduardo Agosin, Fr...
168
Voted
LWA
2004
15 years 5 months ago
An Assessment Framework for eLearning in the Semantic Web
In this paper we present a flexible assessment framework for eLearning based on semantic web technologies. The assessment techniques are formalized as reasoning rules. These rules...
Lilia Cheniti-Belcadhi, Nicola Henze, Rafik Braham
231
Voted
CICLING
2008
Springer
15 years 5 months ago
A Semantics-Enhanced Language Model for Unsupervised Word Sense Disambiguation
An N-gram language model aims at capturing statistical word order dependency information from corpora. Although the concept of language models has been applied extensively to handl...
Shou-de Lin, Karin Verspoor
137
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Multi-view and multi-objective semi-supervised learning for large vocabulary continuous speech recognition
Current hidden Markov acoustic modeling for large vocabulary continuous speech recognition (LVCSR) relies on the availability of abundant labeled transcriptions. Given that speech...
Xiaodong Cui, Jing Huang, Jen-Tzung Chien