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95
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ICASSP
2011
IEEE
14 years 7 months ago
Sparse variable reduced rank regression via Stiefel optimization
Reduced rank regression (RRR) has found application in various fields of signal processing. In this paper we propose a novel extension of the RRR model which we call sparse varia...
Magnus O. Ulfarsson, Victor Solo
125
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Exposing duplicated regions affected by reflection, rotation and scaling
A commonly considered image manipulation is to conceal undesirable objects or people in the scene with a region of pixels copied from the same image. Forensic mechanisms aimed at ...
Sergio Bravo-Solorio, Asoke K. Nandi
CLEF
2011
Springer
14 years 3 months ago
Author Identification Using Semi-supervised Learning - Notebook for PAN at CLEF 2011
Author identification models fall into two major categories according to the way they handle the training texts: profile-based models produce one representation per author while in...
Ioannis Kourtis, Efstathios Stamatatos
JMLR
2012
13 years 5 months ago
Sparse Additive Machine
We develop a high dimensional nonparametric classification method named sparse additive machine (SAM), which can be viewed as a functional version of support vector machine (SVM)...
Tuo Zhao, Han Liu
INFOCOM
2012
IEEE
13 years 5 months ago
Delay and rate-optimal control in a multi-class priority queue with adjustable service rates
—We study two convex optimization problems in a multi-class M/G/1 queue with adjustable service rates: minimizing convex functions of the average delay vector, and minimizing ave...
Chih-Ping Li, Michael J. Neely