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IIR
2010
13 years 9 months ago
An Empirical Comparison of Collaborative Filtering Approaches on Netflix Data
Recommender systems are widely used in E-Commerce for making automatic suggestions of new items that could meet the interest of a given user. Collaborative Filtering approaches co...
Nicola Barbieri, Massimo Guarascio, Ettore Ritacco
JMLR
2010
159views more  JMLR 2010»
13 years 2 months ago
Inference of Sparse Networks with Unobserved Variables. Application to Gene Regulatory Networks
Networks are becoming a unifying framework for modeling complex systems and network inference problems are frequently encountered in many fields. Here, I develop and apply a gener...
Nikolai Slavov
SSPR
2004
Springer
14 years 29 days ago
Finding Clusters and Components by Unsupervised Learning
We present a tutorial survey on some recent approaches to unsupervised machine learning in the context of statistical pattern recognition. In statistical PR, there are two classica...
Erkki Oja
IJCV
2006
110views more  IJCV 2006»
13 years 7 months ago
Multi-body Factorization with Uncertainty: Revisiting Motion Consistency
Dynamic analysis of video sequences often relies on the segmentation of the sequence into regions of consistent motions. Approaching this problem requires a definition of which mo...
Lihi Zelnik-Manor, Moshe Machline, Michal Irani
ICMI
2009
Springer
123views Biometrics» more  ICMI 2009»
14 years 2 months ago
Learning and predicting multimodal daily life patterns from cell phones
In this paper, we investigate the multimodal nature of cell phone data in terms of discovering recurrent and rich patterns in people’s lives. We present a method that can discov...
Katayoun Farrahi, Daniel Gatica-Perez