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ICASSP
2009
IEEE
15 years 1 months ago
Weighted nonnegative matrix factorization
Nonnegative matrix factorization (NMF) is a widely-used method for low-rank approximation (LRA) of a nonnegative matrix (matrix with only nonnegative entries), where nonnegativity...
Yong-Deok Kim, Seungjin Choi
ICCV
2009
IEEE
15 years 1 months ago
Robust facial feature tracking using selected multi-resolution linear predictors
This paper proposes a learnt data-driven approach for accurate, real-time tracking of facial features using only intensity information. Constraints such as a-priori shape models o...
Eng-Jon Ong, Yuxuan Lan, Barry Theobald, Richard H...
ICDAR
2009
IEEE
15 years 1 months ago
Hierarchical Shape Primitive Features for Online Text-independent Writer Identification
This paper proposes a novel method to text-independent writer identification from online handwriting. The main contributions of our method include two parts: shape primitive repre...
Bangy Li, Zhenan Sun, Tieniu Tan
CMPB
2011
69views more  CMPB 2011»
14 years 11 months ago
Modelling acute renal failure using blood and breath biomarkers in rats
: This paper compares three methods for estimating renal function, tested in rats. Acute Renal Failure (ARF) was induced via a 60-minute bilateral renal artery clamp in 8 Sprague-D...
Katherine T. Moorhead, Jonathan V. Hill, J. Geoffr...
163
Voted
CORR
2011
Springer
261views Education» more  CORR 2011»
14 years 11 months 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...