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» An algorithm for improving graph partitions
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SIGIR
2009
ACM
15 years 11 months ago
Entropy-biased models for query representation on the click graph
Query log analysis has received substantial attention in recent years, in which the click graph is an important technique for describing the relationship between queries and URLs....
Hongbo Deng, Irwin King, Michael R. Lyu
157
Voted
ICC
2009
IEEE
157views Communications» more  ICC 2009»
15 years 11 months ago
A Graph Approach to Dynamic Fractional Frequency Reuse (FFR) in Multi-Cell OFDMA Networks
A graph-based framework for dynamic fractional frequency reuse (FFR) in multi-cell OFDMA networks is proposed in this work. FFR is a promising resource allocation technique that c...
Ronald Chang, Zhifeng Tao, Jinyun Zhang, C.-C. Jay...
DAC
2006
ACM
16 years 5 months ago
Efficient simulation of critical synchronous dataflow graphs
Simulation and verification using electronic design automation (EDA) tools are key steps in the design process for communication and signal processing systems. The synchronous dat...
Chia-Jui Hsu, José Luis Pino, Ming-Yung Ko,...
KDD
2009
ACM
163views Data Mining» more  KDD 2009»
16 years 5 months ago
Large-scale graph mining using backbone refinement classes
We present a new approach to large-scale graph mining based on so-called backbone refinement classes. The method efficiently mines tree-shaped subgraph descriptors under minimum f...
Andreas Maunz, Christoph Helma, Stefan Kramer
134
Voted
COMPGEOM
2009
ACM
15 years 9 months ago
k-means requires exponentially many iterations even in the plane
The k-means algorithm is a well-known method for partitioning n points that lie in the d-dimensional space into k clusters. Its main features are simplicity and speed in practice....
Andrea Vattani