194 search results - page 5 / 39 » Factorization with Uncertainty |
IDA
2009
Springer
14 years 4 months ago
2009
Springer
Abstract. We present a Bayesian treatment of non-negative matrix factorization (NMF), based on a normal likelihood and exponential priors, and derive an efficient Gibbs sampler to ...
RECSYS
2010
ACM
13 years 7 months ago
2010
ACM
A ranking approach, ListRank-MF, is proposed for collaborative filtering that combines a list-wise learning-to-rank algorithm with matrix factorization (MF). A ranked list of item...
MICCAI
2009
Springer
14 years 11 months ago
2009
Springer
We propose a novel method for deformable tensor?to?tensor registration of Diffusion Tensor Imaging (DTI) data. Our registration method considers estimated diffusion tensors as norm...
AAAI
2010
13 years 11 months ago
2010
Partially Observable Markov Decision Processes (POMDPs) are a well-established and rigorous framework for sequential decision-making under uncertainty. POMDPs are well-known to be...
ICA
2007
Springer
14 years 1 months ago
2007
Springer
Non-negative spectrogram factorization has been proposed for single-channel source separation tasks. These methods operate on the magnitude or power spectrogram of the input mixtur...