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» The Kernel Least-Mean-Square Algorithm
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171
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CORR
2011
Springer
199views Education» more  CORR 2011»
14 years 10 months ago
Fast Sparse Matrix-Vector Multiplication on GPUs: Implications for Graph Mining
Scaling up the sparse matrix-vector multiplication kernel on modern Graphics Processing Units (GPU) has been at the heart of numerous studies in both academia and industry. In thi...
Xintian Yang, Srinivasan Parthasarathy, Ponnuswamy...
148
Voted
CVPR
2006
IEEE
16 years 5 months ago
Efficient Nonparametric Belief Propagation with Application to Articulated Body Tracking
An efficient Nonparametric Belief Propagation (NBP) algorithm is developed in this paper. While the recently proposed nonparametric belief propagation algorithm has wide applicati...
Tony X. Han, Huazhong Ning, Thomas S. Huang
126
Voted
ICML
2009
IEEE
16 years 4 months ago
Geometry-aware metric learning
In this paper, we introduce a generic framework for semi-supervised kernel learning. Given pairwise (dis-)similarity constraints, we learn a kernel matrix over the data that respe...
Zhengdong Lu, Prateek Jain, Inderjit S. Dhillon
107
Voted
MM
2005
ACM
134views Multimedia» more  MM 2005»
15 years 9 months ago
Formulating context-dependent similarity functions
Tasks of information retrieval depend on a good distance function for measuring similarity between data instances. The most effective distance function must be formulated in a con...
Gang Wu, Edward Y. Chang, Navneet Panda
117
Voted
EUROPAR
2001
Springer
15 years 8 months ago
Performance of High-Accuracy PDE Solvers on a Self-Optimizing NUMA Architecture
High-accuracy PDE solvers use multi-dimensional fast Fourier transforms. The FFTs exhibits a static and structured memory access pattern which results in a large amount of communic...
Sverker Holmgren, Dan Wallin