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» Sequence Comparisons via Algorithmic Mutual Information
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CIKM
2004
Springer
15 years 2 months ago
Unified filtering by combining collaborative filtering and content-based filtering via mixture model and exponential model
Collaborative filtering and content-based filtering are two types of information filtering techniques. Combining these two techniques can improve the recommendation effectiveness....
Luo Si, Rong Jin
IPMI
1999
Springer
15 years 10 months ago
Registration of Cortical Anatomical Structures via Robust 3D Point Matching
Abstract. Inter-subjectnon-rigid registration of cortical anatomical structures as seen in MR is a challenging problem. The variability of the sulcal and gyral patterns across pati...
Haili Chui, James Rambo, James S. Duncan, Robert T...
ICTAI
2006
IEEE
15 years 3 months ago
Sequence Mining Without Sequences: A New Way for Privacy Preserving
During the last decade, sequential pattern mining has been the core of numerous researches. It is now possible to efficiently discover users’ behavior in various domains such a...
Stéphanie Jacquemont, François Jacqu...
ICML
2009
IEEE
15 years 10 months ago
Robust feature extraction via information theoretic learning
In this paper, we present a robust feature extraction framework based on informationtheoretic learning. Its formulated objective aims at simultaneously maximizing the Renyi's...
Xiaotong Yuan, Bao-Gang Hu
MM
2006
ACM
108views Multimedia» more  MM 2006»
15 years 3 months ago
Video search reranking via information bottleneck principle
We propose a novel and generic video/image reranking algorithm, IB reranking, which reorders results from text-only searches by discovering the salient visual patterns of relevant...
Winston H. Hsu, Lyndon S. Kennedy, Shih-Fu Chang