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» Multiple Kernel Learning with High Order Kernels
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CSE
2009
IEEE
13 years 11 months ago
A Comparative Study of Blocking Storage Methods for Sparse Matrices on Multicore Architectures
Sparse Matrix-Vector multiplication (SpMV) is a very challenging computational kernel, since its performance depends greatly on both the input matrix and the underlying architectur...
Vasileios Karakasis, Georgios I. Goumas, Nectarios...
ADMA
2006
Springer
167views Data Mining» more  ADMA 2006»
14 years 1 months ago
A Correlation Approach for Automatic Image Annotation
The automatic annotation of images presents a particularly complex problem for machine learning researchers. In this work we experiment with semantic models and multi-class learnin...
David R. Hardoon, Craig Saunders, Sándor Sz...
USENIX
2008
13 years 10 months ago
Fast, Inexpensive Content-Addressed Storage in Foundation
Foundation is a preservation system for users' personal, digital artifacts. Foundation preserves all of a user's data and its dependencies--fonts, programs, plugins, ker...
Sean C. Rhea, Russ Cox, Alex Pesterev
AAAI
2008
13 years 10 months ago
Manifold Integration with Markov Random Walks
Most manifold learning methods consider only one similarity matrix to induce a low-dimensional manifold embedded in data space. In practice, however, we often use multiple sensors...
Heeyoul Choi, Seungjin Choi, Yoonsuck Choe
SC
2005
ACM
14 years 1 months ago
Separating Abstractions from Resources in a Tactical Storage System
ng Abstractions from Resources in a Tactical Storage System Douglas Thain† , Sander Klous∗ , Justin Wozniak† , Paul Brenner† , Aaron Striegel† , Jesus Izaguirre† † - ...
Douglas Thain, Sander Klous, Justin M. Wozniak, Pa...