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» Manipulation Robustness of Collaborative Filtering
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AIMS
2007
Springer
14 years 2 months ago
Peer-to-Peer Large-Scale Collaborative Storage Networks
Abstract. This paper presents the idea of a fully decentralized peer-to-peer collaborative network with a robust, scalable and incentive-compatible system enabling storage, retriev...
Thomas Bocek, Burkhard Stiller
ICIP
2010
IEEE
13 years 6 months ago
Collaborative particle filters for group tracking
Tracking groups of people is a highly informative task in surveillance, and it represents a still open and little explored issue. In this paper, we propose a brand new framework f...
Loris Bazzani, Marco Cristani, Vittorio Murino
SIGIR
2006
ACM
14 years 2 months ago
Unifying user-based and item-based collaborative filtering approaches by similarity fusion
Memory-based methods for collaborative filtering predict new ratings by averaging (weighted) ratings between, respectively, pairs of similar users or items. In practice, a large ...
Jun Wang, Arjen P. de Vries, Marcel J. T. Reinders
FGR
2006
IEEE
263views Biometrics» more  FGR 2006»
14 years 2 months ago
Robust Head Tracking Based on a Multi-State Particle Filter
This paper proposes a novel method for robust and automatic realtime head tracking by fusing face and head cues within a multi-state particle filter. Due to large appearance vari...
Yuan Li, Haizhou Ai, Chang Huang, Shihong Lao
UAI
2004
13 years 10 months ago
A Bayesian Approach toward Active Learning for Collaborative Filtering
Collaborative filtering is a useful technique for exploiting the preference patterns of a group of users to predict the utility of items for the active user. In general, the perfo...
Rong Jin, Luo Si