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» Structured metric learning for high dimensional problems
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AAAI
2007
13 years 10 months ago
A Randomized String Kernel and Its Application to RNA Interference
String kernels directly model sequence similarities without the necessity of extracting numerical features in a vector space. Since they better capture complex traits in the seque...
Shibin Qiu, Terran Lane, Ljubomir J. Buturovic
ICDM
2005
IEEE
188views Data Mining» more  ICDM 2005»
14 years 1 months ago
Hierarchy-Regularized Latent Semantic Indexing
Organizing textual documents into a hierarchical taxonomy is a common practice in knowledge management. Beside textual features, the hierarchical structure of directories reflect...
Yi Huang, Kai Yu, Matthias Schubert, Shipeng Yu, V...
SIGGRAPH
2010
ACM
13 years 6 months ago
Structure-based ASCII art
The wide availability and popularity of text-based communication channels encourage the usage of ASCII art in representing images. Existing tone-based ASCII art generation methods...
Xuemiao Xu, Linling Zhang, Tien-Tsin Wong
ICIP
2010
IEEE
13 years 5 months ago
Earth Mover Distance on superpixels
Earth Mover Distance (EMD) is a popular distance to compute distances between Probability Density Functions (PDFs). It has been successfully applied in a wide selection of problem...
Sylvain Boltz, Frank Nielsen, Stefano Soatto
CGF
2006
173views more  CGF 2006»
13 years 7 months ago
C-BDAM - Compressed Batched Dynamic Adaptive Meshes for Terrain Rendering
We describe a compressed multiresolution representation for supporting interactive rendering of very large planar and spherical terrain surfaces. The technique, called Compressed ...
Enrico Gobbetti, Fabio Marton, Paolo Cignoni, Marc...