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AAAI
2011
13 years 13 days ago
Size Adaptive Selection of Most Informative Features
In this paper, we propose a novel method to select the most informative subset of features, which has little redundancy and very strong discriminating power. Our proposed approach...
Si Liu, Hairong Liu, Longin Jan Latecki, Shuicheng...
ICCV
2011
IEEE
13 years 13 days ago
3D Reconstruction of a Smooth Articulated Trajectory from a Monocular Image Sequence
An articulated trajectory is defined as a trajectory that remains at a fixed distance with respect to a parent trajectory. In this paper, we present a method to reconstruct an a...
Hyun Soo Park, Yaser Sheikh
ICDM
2003
IEEE
91views Data Mining» more  ICDM 2003»
14 years 5 months ago
MPIS: Maximal-Profit Item Selection with Cross-Selling Considerations
In the literature of data mining, many different algorithms for association rule mining have been proposed. However, there is relatively little study on how association rules can ...
Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang
COCOA
2007
Springer
14 years 6 months ago
A New Exact Algorithm for the Two-Sided Crossing Minimization Problem
The Two-Sided Crossing Minimization (TSCM) problem calls for minimizing the number of edge crossings of a bipartite graph where the two sets of vertices are drawn on two parallel l...
Lanbo Zheng, Christoph Buchheim
CDC
2008
IEEE
115views Control Systems» more  CDC 2008»
14 years 7 months ago
Min-Max predictive control of a pilot plant using a QP approach
— The practical implementation of Min-Max MPC (MMMPC) controllers is limited by the computational burden required to compute the control law. This problem can be circumvented by ...
Jorn Klaas Gruber, Daniel R. Ramírez, Teodo...
ICASSP
2009
IEEE
14 years 7 months ago
Fast LCD motion deblurring by decimation and optimization
The LCD deblurring problem is considered as a simple bounded quadratic programming problem and is solved using conjugate gradient with early stopping criteria to avoid excessive s...
Stanley H. Chan, Truong Q. Nguyen
MCS
2009
Springer
14 years 7 months ago
Selective Ensemble under Regularization Framework
An ensemble is generated by training multiple component learners for a same task and then combining them for predictions. It is known that when lots of trained learners are availab...
Nan Li, Zhi-Hua Zhou
ICCV
2005
IEEE
15 years 2 months ago
Recovering Human Body Configurations Using Pairwise Constraints between Parts
The goal of this work is to recover human body configurations from static images. Without assuming a priori knowledge of scale, pose or appearance, this problem is extremely chall...
Xiaofeng Ren, Alexander C. Berg, Jitendra Malik