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» Feature Identification: A Novel Approach and a Case Study
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111
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CGO
2009
IEEE
15 years 7 months ago
Automatic Feature Generation for Machine Learning Based Optimizing Compilation
Recent work has shown that machine learning can automate and in some cases outperform hand crafted compiler optimizations. Central to such an approach is that machine learning tec...
Hugh Leather, Edwin V. Bonilla, Michael O'Boyle
106
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ICML
2007
IEEE
16 years 1 months ago
Spectral feature selection for supervised and unsupervised learning
Feature selection aims to reduce dimensionality for building comprehensible learning models with good generalization performance. Feature selection algorithms are largely studied ...
Zheng Zhao, Huan Liu
ECCV
2008
Springer
16 years 2 months ago
Cat Head Detection - How to Effectively Exploit Shape and Texture Features
In this paper, we focus on the problem of detecting the head of cat-like animals, adopting cat as a test case. We show that the performance depends crucially on how to effectively ...
Weiwei Zhang, Jian Sun, Xiaoou Tang
BMCBI
2008
220views more  BMCBI 2008»
15 years 20 days ago
Gene prediction in metagenomic fragments: A large scale machine learning approach
Background: Metagenomics is an approach to the characterization of microbial genomes via the direct isolation of genomic sequences from the environment without prior cultivation. ...
Katharina J. Hoff, Maike Tech, Thomas Lingner, Rol...
CBMS
2008
IEEE
15 years 7 months ago
Thyroid Texture Representation via Noise Resistant Image Features
The robustness of textural features on speckle noise is of vital importance for ultrasound imaging. A set of novel fuzzy features for thyroid ultrasound texture representation, de...
Eystratios G. Keramidas, Dimitrios K. Iakovidis, D...