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» Using Machine Learning to Focus Iterative Optimization
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CIVR
2006
Springer
139views Image Analysis» more  CIVR 2006»
15 years 6 months ago
NPIC: Hierarchical Synthetic Image Classification Using Image Search and Generic Features
We introduce NPIC, an image classification system that focuses on synthetic (e.g., non-photographic) images. We use class-specific keywords in an image search engine to create a no...
Fei Wang, Min-Yen Kan
141
Voted
TNN
2010
171views Management» more  TNN 2010»
14 years 9 months ago
Sensitivity versus accuracy in multiclass problems using memetic Pareto evolutionary neural networks
This paper proposes a multiclassification algorithm using multilayer perceptron neural network models. It tries to boost two conflicting main objectives of multiclassifiers: a high...
Juan Carlos Fernández Caballero, Francisco ...
102
Voted
GECCO
2006
Springer
173views Optimization» more  GECCO 2006»
15 years 6 months ago
Sets of receiver operating characteristic curves and their use in the evaluation of multi-class classification
Within the last two decades, Receiver Operating Characteristic (ROC) Curves have become a standard tool for the analysis and comparison of classifiers since they provide a conveni...
Stephan M. Winkler, Michael Affenzeller, Stefan Wa...
SLP
1994
118views more  SLP 1994»
15 years 4 months ago
A Simple Program Transformation for Parallelism
Most of the research, to date, on optimizing program transformations for declarative languages has focused on sequential execution strategies. In this paper, we consider a class o...
Saumya K. Debray, Mudita Jain
PKDD
2009
Springer
120views Data Mining» more  PKDD 2009»
15 years 9 months ago
Variational Graph Embedding for Globally and Locally Consistent Feature Extraction
Existing feature extraction methods explore either global statistical or local geometric information underlying the data. In this paper, we propose a general framework to learn fea...
Shuang-Hong Yang, Hongyuan Zha, Shaohua Kevin Zhou...