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» A Distance-Based Packing Method for High Dimensional Data
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ESANN
2006
13 years 10 months ago
Visual Data Mining and Machine Learning
Information visualization and visual data mining leverage the human visual system to provide insight and understanding of unorganized data. In order to scale to massive sets of hig...
Fabrice Rossi
EMMCVPR
2011
Springer
12 years 8 months ago
High Resolution Segmentation of Neuronal Tissues from Low Depth-Resolution EM Imagery
The challenge of recovering the topology of massive neuronal circuits can potentially be met by high throughput Electron Microscopy (EM) imagery. Segmenting a 3-dimensional stack o...
Daniel Glasner, Tao Hu, Juan Nunez-Iglesias, Lou S...
ALT
2004
Springer
14 years 5 months ago
On Kernels, Margins, and Low-Dimensional Mappings
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...
Maria-Florina Balcan, Avrim Blum, Santosh Vempala
TOG
2008
156views more  TOG 2008»
13 years 8 months ago
Real-time motion retargeting to highly varied user-created morphologies
Character animation in video games--whether manually keyframed or motion captured--has traditionally relied on codifying skeletons early in a game's development, and creating...
Chris Hecker, Bernd Raabe, Ryan W. Enslow, John De...
BMCBI
2010
243views more  BMCBI 2010»
13 years 9 months ago
Comparative study of unsupervised dimension reduction techniques for the visualization of microarray gene expression data
Background: Visualization of DNA microarray data in two or three dimensional spaces is an important exploratory analysis step in order to detect quality issues or to generate new ...
Christoph Bartenhagen, Hans-Ulrich Klein, Christia...