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CORR
2011
Springer
167views Education» more  CORR 2011»
13 years 2 months ago
Fast global convergence of gradient methods for high-dimensional statistical recovery
Many statistical M-estimators are based on convex optimization problems formed by the weighted sum of a loss function with a norm-based regularizer. We analyze the convergence rat...
Alekh Agarwal, Sahand Negahban, Martin J. Wainwrig...
TMI
2011
182views more  TMI 2011»
13 years 2 months ago
Active Volume Models for Medical Image Segmentation
—In this paper, we propose a novel predictive model, active volume model (AVM), for object boundary extraction. It is a dynamic “object” model whose manifestation includes a ...
Tian Shen, Hongsheng Li, Xiaolei Huang
ISPD
2000
ACM
113views Hardware» more  ISPD 2000»
13 years 12 months ago
Floorplan area minimization using Lagrangian relaxation
modules can be handled in constraint graphs efficiently. This Floorplan area minimization is an important problem because many modules have shape flexibilities during the floorplan...
Fung Yu Young, Chris C. N. Chu, W. S. Luk, Y. C. W...
ICCV
2005
IEEE
14 years 9 months ago
Efficient Learning of Relational Object Class Models
We present an efficient method for learning part-based object class models from unsegmented images represented as sets of salient features. A model includes parts' appearance...
Aharon Bar-Hillel, Tomer Hertz, Daphna Weinshall
ECCV
2008
Springer
14 years 9 months ago
Contour Context Selection for Object Detection: A Set-to-Set Contour Matching Approach
Abstract. We introduce a shape detection framework called Contour Context Selection for detecting objects in cluttered images using only one exemplar. Shape based detection is inva...
Qihui Zhu, Liming Wang, Yang Wu, Jianbo Shi