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» Structured metric learning for high dimensional problems
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AAAI
2007
15 years 2 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»
15 years 5 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
14 years 10 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
14 years 9 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»
14 years 12 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...