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134
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ECML
2004
Springer
15 years 10 months ago
Improving Random Forests
Random forests are one of the most successful ensemble methods which exhibits performance on the level of boosting and support vector machines. The method is fast, robust to noise,...
Marko Robnik-Sikonja
152
Voted
WACV
2002
IEEE
15 years 10 months ago
Boosting Image Orientation Detection with Indoor vs. Outdoor Classification
Automatic detection of image orientation is a very important operation in photo image management. In this paper, we propose an automated method based on the boosting algorithm to ...
Lei Zhang, Mingjing Li, HongJiang Zhang
116
Voted
CEC
2009
IEEE
15 years 9 months ago
Glomerulus extraction by using genetic algorithm for edge patching
—Glomerulus is the filtering unit of the kidney. In the computer aided diagnosis system designed for kidney disease, glomerulus extraction is an important step for analyzing kidn...
Jiaxin Ma, Jingqiao Zhang, Jinglu Hu
153
Voted
PKDD
2001
Springer
127views Data Mining» more  PKDD 2001»
15 years 9 months ago
Sentence Filtering for Information Extraction in Genomics, a Classification Problem
In some domains, Information Extraction (IE) from texts requires syntactic and semantic parsing. This analysis is computationally expensive and IE is potentially noisy if it applie...
Claire Nedellec, Mohamed Ould Abdel Vetah, Philipp...
160
Voted
ASAP
2000
IEEE
125views Hardware» more  ASAP 2000»
15 years 9 months ago
High Level Modeling for Parallel Executions of Nested Loop Algorithms
High level modeling and (quantitative) performance analysis of signal processing systems requires high level models for the applications(algorithms) and the implementations (archi...
Ed F. Deprettere, Edwin Rijpkema, Paul Lieverse, B...