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NIPS
1998
15 years 1 months ago
Learning from Dyadic Data
Dyadic data refers to a domain with two nite sets of objects in which observations are made for dyads, i.e., pairs with one element from either set. This type of data arises natur...
Thomas Hofmann, Jan Puzicha, Michael I. Jordan
VISUALIZATION
2005
IEEE
15 years 5 months ago
Query-Driven Visualization of Large Data Sets
We present a practical and general-purpose approach to large and complex visual data analysis where visualization processing, rendering and subsequent human interpretation is cons...
Kurt Stockinger, John Shalf, Kesheng Wu, E. Wes Be...
ICS
2009
Tsinghua U.
15 years 4 months ago
Single-particle 3d reconstruction from cryo-electron microscopy images on GPU
Single-particle 3D reconstruction from cryo-electron microscopy (cryo-EM) images is a kernel application of biological molecules analysis, as the computational requirement of whic...
Guangming Tan, Ziyu Guo, Mingyu Chen, Dan Meng
GG
2004
Springer
15 years 5 months ago
Workshop on Graph-Based Tools
Graphs are well-known, well-understood, and frequently used means to depict networks of related items. They are successfully used as the underlying mathematical concept in various ...
Tom Mens, Andy Schürr, Gabriele Taentzer
SDM
2007
SIAM
182views Data Mining» more  SDM 2007»
15 years 1 months ago
Distance Preserving Dimension Reduction for Manifold Learning
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
Hyunsoo Kim, Haesun Park, Hongyuan Zha