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» Dimensions of machine learning in design
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CVPR
2011
IEEE
13 years 1 months ago
Discriminative Spatial Pyramid
Spatial Pyramid Representation (SPR) is a widely used method for embedding both global and local spatial information into a feature, and it shows good performance in terms of gene...
Tatsuya Harada, Yoshitaka Ushiku, Yuya Yamashita, ...
GECCO
2005
Springer
218views Optimization» more  GECCO 2005»
14 years 3 months ago
Particle swarm optimization for analysis of mass spectral serum profiles
Serum profiling using mass spectrometry is an emerging technology with a great potential to provide biomarkers for complex diseases such as cancer. However, protein profiles obtai...
Habtom W. Ressom, Rency S. Varghese, Daniel Saha, ...
COOTS
1998
13 years 11 months ago
Mobile Objects and Agents (MOA)
This paper describes the design and implementation of the Mobile Objects and Agents (MOA) project at the Open Group Research Institute. MOA was designed to support migration, comm...
Dejan S. Milojicic, William LaForge, Deepika Chauh...
DAGM
2010
Springer
13 years 11 months ago
Random Fourier Approximations for Skewed Multiplicative Histogram Kernels
Abstract. Approximations based on random Fourier features have recently emerged as an efficient and elegant methodology for designing large-scale kernel machines [4]. By expressing...
Fuxin Li, Catalin Ionescu, Cristian Sminchisescu
ALGORITHMICA
2006
74views more  ALGORITHMICA 2006»
13 years 10 months ago
Parallelizing Feature Selection
Classification is a key problem in machine learning/data mining. Algorithms for classification have the ability to predict the class of a new instance after having been trained on...
Jerffeson Teixeira de Souza, Stan Matwin, Nathalie...