92 search results - page 3 / 19 » Data Visualization and Dimensionality Reduction Using Kernel... |
156
Voted
HPDC
2010
IEEE
15 years 3 months ago
2010
IEEE
Visualization of large-scale high dimensional data tool is highly valuable for scientific discovery in many fields. We present PubChemBrowse, a customized visualization tool for c...
145
Voted
PAMI
2011
14 years 9 months ago
2011
—In solving complex visual learning tasks, adopting multiple descriptors to more precisely characterize the data has been a feasible way for improving performance. The resulting ...
130
Voted
ALT
2004
Springer
15 years 11 months ago
2004
Springer
Kernel functions are typically viewed as providing an implicit mapping of points into a high-dimensional space, with the ability to gain much of the power of that space without inc...
124
Voted
IPPS
2005
IEEE
15 years 8 months ago
2005
IEEE
The use of pipelined floating-point arithmetic cores to create high-performance FPGA-based computational kernels has introduced a new class of problems that do not exist when usi...
148
Voted
WEBI
2010
Springer
15 years 7 days ago
2010
Springer
High-dimensional data usually incur learning deficiencies and computational difficulties. We present a novel semi-supervised dimensionality reduction technique that embeds high-dim...