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» Kernels for Semi-Structured Data
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112
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PAMI
2006
117views more  PAMI 2006»
15 years 22 days ago
Metric Learning for Text Documents
High dimensional structured data such as text and images is often poorly understood and misrepresented in statistical modeling. The standard histogram representation suffers from ...
Guy Lebanon
123
Voted
PPOPP
2010
ACM
15 years 10 months ago
Data transformations enabling loop vectorization on multithreaded data parallel architectures
Loop vectorization, a key feature exploited to obtain high performance on Single Instruction Multiple Data (SIMD) vector architectures, is significantly hindered by irregular memo...
Byunghyun Jang, Perhaad Mistry, Dana Schaa, Rodrig...
108
Voted
VIS
2005
IEEE
110views Visualization» more  VIS 2005»
16 years 2 months ago
Prefiltered Gaussian Reconstruction for High-Quality Rendering of Volumetric Data sampled on a Body-Centered Cubic Grid
In this paper a novel high-quality reconstruction scheme is presented. Although our method is mainly proposed to reconstruct volumetric data sampled on an optimal Body-Centered Cu...
Balázs Csébfalvi
122
Voted
PPOPP
2010
ACM
15 years 7 months ago
An adaptive performance modeling tool for GPU architectures
This paper presents an analytical model to predict the performance of general-purpose applications on a GPU architecture. The model is designed to provide performance information ...
Sara S. Baghsorkhi, Matthieu Delahaye, Sanjay J. P...
NATO
1993
15 years 4 months ago
METU Object-Oriented DBMS
METU Object-Oriented DBMS 1 includes the implementation of a database kernel, an object-oriented SQL-like language and a graphical user interface. Kernel functions are divided bet...
Asuman Dogac, Cetin Ozkan, Ismailcem Budak Arpinar...