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SIBGRAPI
2005
IEEE
15 years 12 months ago
True Factor Analysis in Medical Imaging: Dealing with High-Dimensional Spaces
This article presents a new method for discovering hidden patterns in high-dimensional dataset resulting from image registration. It is based on true factor analysis, a statistica...
Alexei Manso Correa Machado
ICML
2006
IEEE
16 years 7 months ago
Null space versus orthogonal linear discriminant analysis
Dimensionality reduction is an important pre-processing step for many applications. Linear Discriminant Analysis (LDA) is one of the well known methods for supervised dimensionali...
Jieping Ye, Tao Xiong
ICML
2007
IEEE
16 years 7 months ago
Discriminant analysis in correlation similarity measure space
Correlation is one of the most widely used similarity measures in machine learning like Euclidean and Mahalanobis distances. However, compared with proposed numerous discriminant ...
Yong Ma, Shihong Lao, Erina Takikawa, Masato Kawad...
SMC
2010
IEEE
202views Control Systems» more  SMC 2010»
15 years 4 months ago
Evaluating the performance of nonnegative matrix factorization for constructing semantic spaces: Comparison to latent semantic a
—This study examines the ability of nonnegative matrix factorization (NMF) as a method for constructing semantic spaces, in which the meaning of each word is represented by a hig...
Akira Utsumi
CODES
2007
IEEE
16 years 20 days ago
Performance analysis and design space exploration for high-end biomedical applications: challenges and solutions
High-end biomedical applications are a good target for specificpurpose system-on-chip (SoC) implementations. Human heart electrocardiogram (ECG) real-time monitoring and analysis ...
Iyad Al Khatib, Davide Bertozzi, Axel Jantsch, Luc...