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CVPR
2012
IEEE
11 years 10 months ago
Scalable k-NN graph construction for visual descriptors
The k-NN graph has played a central role in increasingly popular data-driven techniques for various learning and vision tasks; yet, finding an efficient and effective way to con...
Jing Wang, Jingdong Wang, Gang Zeng, Zhuowen Tu, R...
CDC
2009
IEEE
243views Control Systems» more  CDC 2009»
14 years 6 days ago
A distributed newton method for network optimization
— Most existing work uses dual decomposition and subgradient methods to solve network optimization problems in a distributed manner, which suffer from slow convergence rate prope...
Ali Jadbabaie, Asuman E. Ozdaglar, Michael Zargham
ICDM
2005
IEEE
190views Data Mining» more  ICDM 2005»
14 years 1 months ago
Neighborhood Formation and Anomaly Detection in Bipartite Graphs
Many real applications can be modeled using bipartite graphs, such as users vs. files in a P2P system, traders vs. stocks in a financial trading system, conferences vs. authors ...
Jimeng Sun, Huiming Qu, Deepayan Chakrabarti, Chri...
3DIM
2005
IEEE
14 years 1 months ago
Globally Convergent Range Image Registration by Graph Kernel Algorithm
Automatic range image registration without any knowledge of the viewpoint requires identification of common regions across different range images and then establishing point corr...
Radim Sára, Ikuko Shimizu Okatani, Akihiro ...
PVLDB
2010
200views more  PVLDB 2010»
13 years 5 months ago
SAPPER: Subgraph Indexing and Approximate Matching in Large Graphs
With the emergence of new applications, e.g., computational biology, new software engineering techniques, social networks, etc., more data is in the form of graphs. Locating occur...
Shijie Zhang, Jiong Yang, Wei Jin