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» Smooth Optimization for Effective Multiple Kernel Learning
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CGO
2010
IEEE
15 years 4 months ago
Automatic creation of tile size selection models
Tiling is a widely used loop transformation for exposing/exploiting parallelism and data locality. Effective use of tiling requires selection and tuning of the tile sizes. This is...
Tomofumi Yuki, Lakshminarayanan Renganarayanan, Sa...
EUROPAR
2009
Springer
15 years 2 months ago
Two-Dimensional Matrix Partitioning for Parallel Computing on Heterogeneous Processors Based on Their Functional Performance Mod
Abstract. The functional performance model (FPM) of heterogeneous processors has proven to be more realistic than the traditional models because it integrates many important featur...
Alexey L. Lastovetsky, Ravi Reddy
ICCD
2000
IEEE
159views Hardware» more  ICCD 2000»
15 years 2 months ago
Evaluating Signal Processing and Multimedia Applications on SIMD, VLIW and Superscalar Architectures
This paper aims to provide a quantitative understanding of the performance of DSP and multimedia applications on very long instruction word (VLIW), single instruction multiple dat...
Deependra Talla, Lizy Kurian John, Viktor S. Lapin...
156
Voted
ICDE
2003
IEEE
159views Database» more  ICDE 2003»
15 years 11 months ago
Scaling up the ALIAS Duplicate Elimination System
Duplicate elimination is an important stage in integrating data from multiple sources. The challenges involved are finding a robust deduplication function that can identify when t...
Sunita Sarawagi, Alok Kirpal
87
Voted
CVPR
2010
IEEE
15 years 5 months ago
Sufficient Dimensionality Reduction for Visual Sequence Classification
When classifying high-dimensional sequence data, traditional methods (e.g., HMMs, CRFs) may require large amounts of training data to avoid overfitting. In such cases dimensional...
Alex Shyr, Raquel Urtasun, Michael Jordan