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» Outlier-aware robust clustering
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CVPR
2006
IEEE
16 years 1 hour ago
Affine Invariance Revisited
This paper proposes a Riemannian geometric framework to compute averages and distributions of point configurations so that different configurations up to affine transformations ar...
Evgeni Begelfor, Michael Werman
KDD
2008
ACM
119views Data Mining» more  KDD 2008»
15 years 10 months ago
SAIL: summation-based incremental learning for information-theoretic clustering
Information-theoretic clustering aims to exploit information theoretic measures as the clustering criteria. A common practice on this topic is so-called INFO-K-means, which perfor...
Junjie Wu, Hui Xiong, Jian Chen
ICDE
2004
IEEE
138views Database» more  ICDE 2004»
15 years 11 months ago
Making the Pyramid Technique Robust to Query Types and Workloads
The effectiveness of many existing high-dimensional indexing structures is limited to specific types of queries and workloads. For example, while the Pyramid technique and the iMi...
Rui Zhang 0003, Beng Chin Ooi, Kian-Lee Tan
RECSYS
2009
ACM
15 years 2 months ago
Effective diverse and obfuscated attacks on model-based recommender systems
Robustness analysis research has shown that conventional memory-based recommender systems are very susceptible to malicious profile-injection attacks. A number of attack models h...
Zunping Cheng, Neil Hurley
ICIP
2003
IEEE
15 years 11 months ago
A semantic representation for image retrieval
Robust semantic labeling of image regions is a basic problem in representing and retrieving image/video content. We propose an SVM-MRF framework to model features and their spatia...
Lei Wang, B. S. Manjunath