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» Combinations of Weak Classifiers
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IWANN
2005
Springer
15 years 9 months ago
Balanced Boosting with Parallel Perceptrons
Boosting constructs a weighted classifier out of possibly weak learners by successively concentrating on those patterns harder to classify. While giving excellent results in many ...
Iván Cantador, José R. Dorronsoro
TSD
2004
Springer
15 years 9 months ago
Acoustic and Linguistic Information Based Chinese Prosodic Boundary Labelling
The paper analyzes both acoustic and linguistic features with different Chinese prosodic boundaries. Then a rule-learning approach was used to do the prosodic boundary labelling. ...
Jianhua Tao
ECCV
2008
Springer
15 years 5 months ago
Multiple Instance Boost Using Graph Embedding Based Decision Stump for Pedestrian Detection
Pedestrian detection in still image should handle the large appearance and stance variations arising from the articulated structure, various clothing of human as well as viewpoints...
Junbiao Pang, Qingming Huang, Shuqiang Jiang
ICMLA
2008
15 years 5 months ago
Highly Scalable SVM Modeling with Random Granulation for Spam Sender Detection
Spam sender detection based on email subject data is a complex large-scale text mining task. The dataset consists of email subject lines and the corresponding IP address of the em...
Yuchun Tang, Yuanchen He, Sven Krasser
CCGRID
2010
IEEE
15 years 5 months ago
A Categorisation of Cloud Computing Business Models
- This paper reviews current cloud computing business models and presents proposals on how organisations can achieve sustainability by adopting appropriate models. We classify clou...
Victor Chang, David A. Bacigalupo, Gary Wills, Dav...