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KDD
2008
ACM
195views Data Mining» more  KDD 2008»
16 years 7 days ago
Anomaly pattern detection in categorical datasets
We propose a new method for detecting patterns of anomalies in categorical datasets. We assume that anomalies are generated by some underlying process which affects only a particu...
Kaustav Das, Jeff G. Schneider, Daniel B. Neill
KDD
2007
ACM
191views Data Mining» more  KDD 2007»
16 years 7 days ago
Modeling relationships at multiple scales to improve accuracy of large recommender systems
The collaborative filtering approach to recommender systems predicts user preferences for products or services by learning past useritem relationships. In this work, we propose no...
Robert M. Bell, Yehuda Koren, Chris Volinsky
GECCO
2010
Springer
158views Optimization» more  GECCO 2010»
15 years 3 months ago
Efficiently evolving programs through the search for novelty
A significant challenge in genetic programming is premature convergence to local optima, which often prevents evolution from solving problems. This paper introduces to genetic pro...
Joel Lehman, Kenneth O. Stanley
CVPR
2004
IEEE
16 years 1 months ago
Linear Model Hashing and Batch RANSAC for Rapid and Accurate Object Recognition
This paper proposes a joint feature-based model indexing and geometric constraint based alignment pipeline for efficient and accurate recognition of 3D objects from a large model ...
Ying Shan, Bogdan Matei, Harpreet S. Sawhney, Rake...
WWW
2005
ACM
16 years 15 days ago
Adaptive query routing in peer web search
An unstructured peer network application was proposed to address the query forwarding problem of distributed search engines and scalability limitations of centralized search engin...
Le-Shin Wu, Ruj Akavipat, Filippo Menczer