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USING A LABORATORIAL HYPERSPECTRAL IMAGE FOR THE EVALUATION OF FEATURE REDUCTION METHODS FOR THE CLASSIFICATION OF HIGH DIMENSIONAL DATA
Hyperspectral Sensing Feature Selection Feature Extraction Classification
2015/12/31
Thee rapid advances in hyperspectral sensing technology have made it possible to collect remote sensing data in hundreds of bands. However, the data analysis methods which have been successfully appli...
Hessian Eigenmaps: new locally linear embedding techniques for high-dimensional data
Manifold Learning Locally Linear Embedding
2015/8/21
We describe a method to recover the underlying parametrization of scattered data
(mi) lying on a manifold M embedded in high-dimensional Euclidean space. The method,
Hessian-based Locally Linear Emb...
Measuring Polarization in High-dimensional Data: Method and Application to Congressional Speech
Method and Applicatio Congressional Speech
2015/7/17
Standard measures of segregation or polarization are inappropriate for high-dimensional
data such as Internet browsing histories, item-level purchase data, or text. We develop a
model-based measure ...
How to Solve Classification and Regression Problems on High-Dimensional Data with a Supervised Extension of Slow Feature Analysis
Slow feature analysis feature extraction classifi cation regression pattern recognition training graphs nonlinear dimensionality reduction supervised learning high-dimensional data implicitly supervised image analysis
2015/7/10
Supervised learning from high-dimensional data, e.g., multimedia data, is a challenging task. We propose an extension of slow feature analysis (SFA) for supervised dimensionality reduction called grap...
Intelligent Optimization Methods for High-Dimensional Data Classification for Support Vector Machines
Support Vector Machine (SVM) Genetic Algorithm (GA) Particle Swarm Optimization (PSO) Feature Selection Optimization
2013/1/29
Support vector machine (SVM) is a popular pattern classification method with many application areas. SVM shows its outstanding performance in high-dimensional data classification. In the process of cl...