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VIS
2004
IEEE
153views Visualization» more  VIS 2004»
16 years 1 months ago
Anisotropic Volume Rendering for Extremely Dense, Thin Line Data
Many large scale physics-based simulations which take place on PC clusters or supercomputers produce huge amounts of data including vector fields. While these vector data such as ...
Gregory L. Schussman, Kwan-Liu Ma
96
Voted
ICML
2005
IEEE
16 years 1 months ago
Combining model-based and instance-based learning for first order regression
T ORDER REGRESSION (EXTENDED ABSTRACT) Kurt Driessensa Saso Dzeroskib a Department of Computer Science, University of Waikato, Hamilton, New Zealand (kurtd@waikato.ac.nz) b Departm...
Kurt Driessens, Saso Dzeroski
86
Voted
DCC
2009
IEEE
16 years 29 days ago
Compressed Kernel Perceptrons
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
Slobodan Vucetic, Vladimir Coric, Zhuang Wang
135
Voted
PPOPP
2009
ACM
16 years 28 days ago
OpenMP to GPGPU: a compiler framework for automatic translation and optimization
GPGPUs have recently emerged as powerful vehicles for generalpurpose high-performance computing. Although a new Compute Unified Device Architecture (CUDA) programming model from N...
Seyong Lee, Seung-Jai Min, Rudolf Eigenmann
KDD
2009
ACM
198views Data Mining» more  KDD 2009»
16 years 28 days ago
Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix data
All Netflix Prize algorithms proposed so far are prohibitively costly for large-scale production systems. In this paper, we describe an efficient dataflow implementation of a coll...
Srivatsava Daruru, Nena M. Marin, Matt Walker, Joy...