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» Implementation of the MLP Kernel
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TII
2008
88views more  TII 2008»
13 years 9 months ago
Performing Flexible Control on Low-Cost Microcontrollers Using a Minimal Real-Time Kernel
In recent years, approaches to control performance and resource optimization for embedded control systems have been receiving increased attention. Most of them focus on theory, whe...
Ricardo Marau, Pedro Leite, Manel Velasco, Pau Mar...
TSMC
2008
99views more  TSMC 2008»
13 years 9 months ago
Robust Regularized Kernel Regression
Robust regression techniques are critical to fitting data with noise in real-world applications. Most previous work of robust kernel regression is usually formulated into a dual fo...
Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu
ICCV
2009
IEEE
1824views Computer Vision» more  ICCV 2009»
15 years 2 months ago
Beyond the Euclidean distance: Creating effective visual codebooks using the histogram intersection kernel
Common visual codebook generation methods used in a Bag of Visual words model, e.g. k-means or Gaussian Mixture Model, use the Euclidean distance to cluster features into visual...
Jianxin Wu, James M. Rehg
ICML
2006
IEEE
14 years 10 months ago
Fast and space efficient string kernels using suffix arrays
String kernels which compare the set of all common substrings between two given strings have recently been proposed by Vishwanathan & Smola (2004). Surprisingly, these kernels...
Choon Hui Teo, S. V. N. Vishwanathan
SC
2009
ACM
14 years 4 months ago
Automating the generation of composed linear algebra kernels
Memory bandwidth limits the performance of important kernels in many scientific applications. Such applications often use sequences of Basic Linear Algebra Subprograms (BLAS), an...
Geoffrey Belter, Elizabeth R. Jessup, Ian Karlin, ...