Sciweavers

215 search results - page 11 / 43
» On extremal k-outconnected graphs
Sort
View
SDM
2008
SIAM
256views Data Mining» more  SDM 2008»
13 years 9 months ago
Graph Mining with Variational Dirichlet Process Mixture Models
Graph data such as chemical compounds and XML documents are getting more common in many application domains. A main difficulty of graph data processing lies in the intrinsic high ...
Koji Tsuda, Kenichi Kurihara
ICDM
2008
IEEE
122views Data Mining» more  ICDM 2008»
14 years 2 months ago
Nonnegative Matrix Factorization for Combinatorial Optimization: Spectral Clustering, Graph Matching, and Clique Finding
Nonnegative matrix factorization (NMF) is a versatile model for data clustering. In this paper, we propose several NMF inspired algorithms to solve different data mining problems....
Chris H. Q. Ding, Tao Li, Michael I. Jordan
DIS
2004
Springer
14 years 1 months ago
Predictive Graph Mining
Abstract. Graph mining approaches are extremely popular and effective in molecular databases. The vast majority of these approaches first derive interesting, i.e. frequent, patte...
Andreas Karwath, Luc De Raedt
DAC
1999
ACM
14 years 22 days ago
Robust Techniques for Watermarking Sequential Circuit Designs
We present a methodology for the watermarking of synchronous sequential circuits that makes it possible to identify the authorship of designs by imposing a digital watermark on th...
Arlindo L. Oliveira
DAC
1995
ACM
13 years 12 months ago
Automatic Layout Synthesis of Leaf Cells
––This paper describes algorithms for automatic layout synthesisofleafcellsin1–dandinanew1–1/2–dlayoutstyle,useful for non–dual circuit styles. The graph theory based a...
Sanjay Rekhi, J. Donald Trotter, Daniel H. Linder