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ICANNGA
2007
Springer
191views Algorithms» more  ICANNGA 2007»
13 years 12 months ago
Novel Multi-layer Non-negative Tensor Factorization with Sparsity Constraints
In this paper we present a new method of 3D non-negative tensor factorization (NTF) that is robust in the presence of noise and has many potential applications, including multi-way...
Andrzej Cichocki, Rafal Zdunek, Seungjin Choi, Rob...
SDM
2012
SIAM
281views Data Mining» more  SDM 2012»
11 years 8 months ago
Contextual Collaborative Filtering via Hierarchical Matrix Factorization
Matrix factorization (MF) has been demonstrated to be one of the most competitive techniques for collaborative filtering. However, state-of-the-art MFs do not consider contextual...
ErHeng Zhong, Wei Fan, Qiang Yang
CORR
2011
Springer
261views Education» more  CORR 2011»
13 years 23 days ago
Convex and Network Flow Optimization for Structured Sparsity
We consider a class of learning problems regularized by a structured sparsity-inducing norm defined as the sum of 2- or ∞-norms over groups of variables. Whereas much effort ha...
Julien Mairal, Rodolphe Jenatton, Guillaume Obozin...
CVPR
2011
IEEE
13 years 1 months ago
Online Group-Structured Dictionary Learning
We develop a dictionary learning method which is (i) online, (ii) enables overlapping group structures with (iii) non-convex sparsity-inducing regularization and (iv) handles the ...
Zoltan Szabo, Barnabas Poczos, Andras Lorincz
ISBI
2004
IEEE
14 years 6 months ago
Penalized Likelihood Transmission Image Reconstruction: Unconstrained Monotonic Algorithms
Statistical reconstruction algorithms in transmission tomography yield improved images relative to the conventional FBP method. The most popular iterative algorithms for this prob...
Somesh Srivastava, Jeffrey A. Fessler