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» Graph Mining based on a Data Partitioning Approach
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HPCC
2007
Springer
15 years 4 months ago
A Highly Efficient Parallel Algorithm for H.264 Encoder Based on Macro-Block Region Partition
This paper proposes a highly efficient MBRP parallel algorithm for H.264 encoder, which is based on the analysis of data dependencies in H.264 encoder. In the algorithm, the video ...
Shuwei Sun, Dong Wang, Shuming Chen
ICDM
2010
IEEE
226views Data Mining» more  ICDM 2010»
14 years 10 months ago
Edge Weight Regularization over Multiple Graphs for Similarity Learning
The growth of the web has directly influenced the increase in the availability of relational data. One of the key problems in mining such data is computing the similarity between o...
Pradeep Muthukrishnan, Dragomir R. Radev, Qiaozhu ...
DAWAK
2005
Springer
15 years 6 months ago
Graph-Based Modeling of ETL Activities with Multi-level Transformations and Updates
Extract-Transform-Load (ETL) workflows are data centric workflows responsible for transferring, cleaning, and loading data from their respective sources to the warehouse. Previous ...
Alkis Simitsis, Panos Vassiliadis, Manolis Terrovi...
IPPS
2007
IEEE
15 years 7 months ago
A Performance Prediction Framework for Grid-Based Data Mining Applications
For a grid middleware to perform resource allocation, prediction models are needed, which can determine how long an application will take for completion on a particular platform o...
Leonid Glimcher, Gagan Agrawal
ICRA
2000
IEEE
129views Robotics» more  ICRA 2000»
15 years 5 months ago
Data Association for Mobile Robot Navigation: A Graph Theoretic Approach
Data association is the process of relating features observed in the environment to features viewed previously or to features in a map. Correct feature association is essential fo...
Tim Bailey, Eduardo Mario Nebot, Julio Rosenblatt,...