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» A rough set approach to multiple dataset analysis
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CVPR
2004
IEEE
16 years 3 months ago
A Probabilistic Framework for Combining Tracking Algorithms
For the past few years researches have been investigating enhancing tracking performance by combining several different tracking algorithms. We propose an analytically justified, ...
Ido Leichter, Michael Lindenbaum, Ehud Rivlin
96
Voted
APLAS
2009
ACM
15 years 8 months ago
Large Spurious Cycle in Global Static Analyses and Its Algorithmic Mitigation
We present a simple algorithmic extension of the classical call-strings approach to mitigate substantial performance degradation caused by spurious interprocedural cycles. Spuriou...
Hakjoo Oh
BMCBI
2008
96views more  BMCBI 2008»
15 years 1 months ago
Use of normalization methods for analysis of microarrays containing a high degree of gene effects
Background: High-throughput microarrays are widely used to study gene expression across tissues and developmental stages. Analysis of gene expression data is challenging in these ...
Terri T. Ni, William J. Lemon, Yu Shyr, Tao P. Zho...
KDD
2010
ACM
265views Data Mining» more  KDD 2010»
15 years 5 months ago
Combining predictions for accurate recommender systems
We analyze the application of ensemble learning to recommender systems on the Netflix Prize dataset. For our analysis we use a set of diverse state-of-the-art collaborative filt...
Michael Jahrer, Andreas Töscher, Robert Legen...

Publication
344views
13 years 11 months ago
Top-k Similarity Join over Multi-valued Objects
The top-k similarity joins have been extensively studied and used in a wide spectrum of applications such as information retrieval, decision making, spatial data analysis and dat...
Wenjie Zhang, Jing Xu, Xin Liang, Ying Zhang, Xuem...