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AAAI
2006
15 years 6 months ago
Tensor Embedding Methods
Over the past few years, some embedding methods have been proposed for feature extraction and dimensionality reduction in various machine learning and pattern classification tasks...
Guang Dai, Dit-Yan Yeung
ESANN
2006
15 years 6 months ago
Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
Long Han, Mark J. Embrechts, Boleslaw K. Szymanski...
DAGM
2010
Springer
15 years 5 months ago
Gaussian Mixture Modeling with Gaussian Process Latent Variable Models
Density modeling is notoriously difficult for high dimensional data. One approach to the problem is to search for a lower dimensional manifold which captures the main characteristi...
Hannes Nickisch, Carl Edward Rasmussen
DSD
2010
IEEE
190views Hardware» more  DSD 2010»
15 years 4 months ago
Hardware-Based Speed Up of Face Recognition Towards Real-Time Performance
— Real-time face recognition by computer systems is required in many commercial and security applications because it is the only way to protect privacy and security in the sea of...
I. Sajid, Sotirios G. Ziavras, M. M. Ahmed
156
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BIOINFORMATICS
2007
195views more  BIOINFORMATICS 2007»
15 years 4 months ago
Context-dependent clustering for dynamic cellular state modeling of microarray gene expression
Motivation: High-throughput expression profiling allows researchers to study gene activities globally. Genes with similar expression profiles are likely to encode proteins that ma...
Shinsheng Yuan, Ker-Chau Li