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PAMI
2012
7 years 6 months ago
Face Recognition Using Sparse Approximated Nearest Points between Image Sets
—We propose an efficient and robust solution for image set classification. A joint representation of an image set is proposed which includes the image samples of the set and thei...
Yiqun Hu, Ajmal S. Mian, Robyn A. Owens
CORR
2012
Springer
232views Education» more  CORR 2012»
7 years 11 months ago
Smoothing Proximal Gradient Method for General Structured Sparse Learning
We study the problem of learning high dimensional regression models regularized by a structured-sparsity-inducing penalty that encodes prior structural information on either input...
Xi Chen, Qihang Lin, Seyoung Kim, Jaime G. Carbone...
CORR
2012
Springer
201views Education» more  CORR 2012»
7 years 11 months ago
Signal Recovery on Incoherent Manifolds
Suppose that we observe noisy linear measurements of an unknown signal that can be modeled as the sum of two component signals, each of which arises from a nonlinear sub-manifold ...
Chinmay Hegde, Richard G. Baraniuk
COLT
2010
Springer
9 years 1 months ago
Composite Objective Mirror Descent
We present a new method for regularized convex optimization and analyze it under both online and stochastic optimization settings. In addition to unifying previously known firstor...
John Duchi, Shai Shalev-Shwartz, Yoram Singer, Amb...
MP
2010
162views more  MP 2010»
9 years 2 months ago
Approximation accuracy, gradient methods, and error bound for structured convex optimization
Convex optimization problems arising in applications, possibly as approximations of intractable problems, are often structured and large scale. When the data are noisy, it is of i...
Paul Tseng
PRL
2007
101views more  PRL 2007»
9 years 3 months ago
Accuracy versus speed in context-based object detection
The visual detection and recognition of objects is facilitated by context. This paper studies two types of learning methods for realizing context-based object detection in paintin...
Niek Bergboer, Eric O. Postma, H. Jaap van den Her...
TSMC
1998
126views more  TSMC 1998»
9 years 3 months ago
Decentralized adaptive fuzzy control of robot manipulators
—This paper develops a decentralized adaptive fuzzy control scheme for robot manipulators via a combination of genetic algorithm and gradient method. The controller for each link...
Yaochu Jin
SIAMJO
2002
96views more  SIAMJO 2002»
9 years 3 months ago
Lagrangian Dual Interior-Point Methods for Semidefinite Programs
This paper proposes a new predictor-corrector interior-point method for a class of semidefinite programs, which numerically traces the central trajectory in a space of Lagrange mul...
Mituhiro Fukuda, Masakazu Kojima, Masayuki Shida
ICASSP
2010
IEEE
9 years 4 months ago
Stability analysis of an adaptive Wiener structure
In the context of digital pre-distortion, a typical requirement is to identify the power amplifier with stringently low computational complexity. Accordingly, we consider a simpl...
Robert Dallinger, Markus Rupp
WSCG
2004
216views more  WSCG 2004»
9 years 5 months ago
A Fast and Accurate Faces Localization using Gradient Method
Detecting faces in images with complex background is a difficult task. To solve this problem we decided to use modified gradient method with oval object detection. This method is ...
Georgy Kukharev, Pawel Masicz, Piotr Masicz
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