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INFOCOM
2012
IEEE
11 years 10 months ago
Sparse recovery with graph constraints: Fundamental limits and measurement construction
—This paper addresses the problem of sparse recovery with graph constraints in the sense that we can take additive measurements over nodes only if they induce a connected subgrap...
Meng Wang, Weiyu Xu, Enrique Mallada, Ao Tang
CVPR
2012
IEEE
11 years 10 months ago
Non-negative low rank and sparse graph for semi-supervised learning
Constructing a good graph to represent data structures is critical for many important machine learning tasks such as clustering and classification. This paper proposes a novel no...
Liansheng Zhuang, Haoyuan Gao, Zhouchen Lin, Yi Ma...
CORR
2011
Springer
199views Education» more  CORR 2011»
13 years 2 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...
SDM
2007
SIAM
143views Data Mining» more  SDM 2007»
13 years 9 months ago
Less is More: Compact Matrix Decomposition for Large Sparse Graphs
Given a large sparse graph, how can we find patterns and anomalies? Several important applications can be modeled as large sparse graphs, e.g., network traffic monitoring, resea...
Jimeng Sun, Yinglian Xie, Hui Zhang, Christos Falo...
HIPS
1998
IEEE
13 years 11 months ago
A Graph-Based Framework for the Definition of Tools Dealing with Sparse and Irregular Distributed Data Structures
Industrial applications use specific problem-oriented implementations of large sparse and irregular data structures. Hence there is a need for tools that make it possible for deve...
Jean-Michel Lépine, Serge Chaumette, Frank ...