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» Using mixture models for collaborative filtering
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IPAS
2008
13 years 11 months ago
Image restoration by sparse 3D transform-domain collaborative filtering
We propose an image restoration technique exploiting regularized inversion and the recent block-matching and 3D filtering (BM3D) denoising filter. The BM3D employs a non-local mod...
Kostadin Dabov, Alessandro Foi, Vladimir Katkovnik...
RECSYS
2010
ACM
13 years 8 months ago
Multiverse recommendation: n-dimensional tensor factorization for context-aware collaborative filtering
Context has been recognized as an important factor to consider in personalized Recommender Systems. However, most model-based Collaborative Filtering approaches such as Matrix Fac...
Alexandros Karatzoglou, Xavier Amatriain, Linas Ba...
IPMI
2009
Springer
14 years 9 months ago
Neural Tractography Using An Unscented Kalman Filter
We describe a technique to simultaneously estimate a local neural fiber model and trace out its path. Existing techniques estimate the local fiber orientation at each voxel indepen...
James G. Malcolm, Martha Elizabeth Shenton, Yogesh...
KDD
2004
ACM
173views Data Mining» more  KDD 2004»
14 years 1 months ago
Collaborative Quality Filtering: Establishing Consensus or Recovering Ground Truth?
We present a algorithm based on factor analysis for performing collaborative quality filtering (CQF). Unlike previous approaches to CQF, which estimate the consensus opinion of a...
Jonathan Traupman, Robert Wilensky
ICRA
2010
IEEE
145views Robotics» more  ICRA 2010»
13 years 7 months ago
A general Gaussian-mixture approach for range-only mapping using multiple hypotheses
— Radio signal-based localization and mapping is becoming more interesting as applications involving the collaboration between robots and static wireless devices are more common....
Fernando Caballero, Luis Merino, Aníbal Oll...