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» Dimensionality Reduction for Classification
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IV
2007
IEEE
160views Visualization» more  IV 2007»
15 years 9 months ago
Targeted Projection Pursuit for Interactive Exploration of High- Dimensional Data Sets
High-dimensional data is, by its nature, difficult to visualise. Many current techniques involve reducing the dimensionality of the data, which results in a loss of information. ...
Joe Faith
GLVLSI
2003
IEEE
132views VLSI» more  GLVLSI 2003»
15 years 8 months ago
Power-aware pipelined multiplier design based on 2-dimensional pipeline gating
Power-awareness indicates the scalability of the system energy with changing conditions and quality requirements. Multipliers are essential elements used in DSP applications and c...
Jia Di, Jiann S. Yuan
IPPS
2006
IEEE
15 years 9 months ago
Elementary block based 2-dimensional dynamic and partial reconfiguration for Virtex-II FPGAs
The development of Field Programmable Gate Arrays (FPGAs) had tremendous improvements in the last few years. They were extended from simple logic circuits to complex Systems-on-Ch...
Michael Hübner, Christian Schuck, Jürgen...
BMEI
2008
IEEE
15 years 5 months ago
Clustering of High-Dimensional Gene Expression Data with Feature Filtering Methods and Diffusion Maps
The importance of gene expression data in cancer diagnosis and treatment by now has been widely recognized by cancer researchers in recent years. However, one of the major challen...
Rui Xu, Steven Damelin, Boaz Nadler, Donald C. Wun...
ISNN
2007
Springer
15 years 9 months ago
Two-Dimensional Bayesian Subspace Analysis for Face Recognition
Bayesian subspace analysis (BSA) has been successfully applied in data mining and pattern recognition. However, due to the use of probabilistic measure of similarity, it often need...
Daoqiang Zhang