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» Generic Graph Algorithms for Sparse Matrix Ordering
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KDD
2012
ACM
271views Data Mining» more  KDD 2012»
12 years 12 months ago
GigaTensor: scaling tensor analysis up by 100 times - algorithms and discoveries
Many data are modeled as tensors, or multi dimensional arrays. Examples include the predicates (subject, verb, object) in knowledge bases, hyperlinks and anchor texts in the Web g...
U. Kang, Evangelos E. Papalexakis, Abhay Harpale, ...
118
Voted
CVPR
2012
IEEE
12 years 12 months ago
Submodular dictionary learning for sparse coding
A greedy-based approach to learn a compact and discriminative dictionary for sparse representation is presented. We propose an objective function consisting of two components: ent...
Zhuolin Jiang, Guangxiao Zhang, Larry S. Davis
SIGIR
2005
ACM
15 years 3 months ago
SimFusion: measuring similarity using unified relationship matrix
In this paper we use a Unified Relationship Matrix (URM) to represent a set of heterogeneous data objects (e.g., web pages, queries) and their interrelationships (e.g., hyperlinks...
Wensi Xi, Edward A. Fox, Weiguo Fan, Benyu Zhang, ...
76
Voted
WEA
2004
Springer
110views Algorithms» more  WEA 2004»
15 years 2 months ago
A Dynamic Algorithm for Topologically Sorting Directed Acyclic Graphs
Abstract. We consider how to maintain the topological order of a directed acyclic graph (DAG) in the presence of edge insertions and deletions. We present a new algorithm and, alth...
David J. Pearce, Paul H. J. Kelly
DATE
2007
IEEE
92views Hardware» more  DATE 2007»
15 years 3 months ago
Random sampling of moment graph: a stochastic Krylov-reduction algorithm
In this paper we introduce a new algorithm for model order reduction in the presence of parameter or process variation. Our analysis is performed using a graph interpretation of t...
Zhenhai Zhu, Joel R. Phillips