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» Function Optimization with Coevolutionary Algorithms
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ICIP
2007
IEEE
15 years 6 months ago
ML Nonlinear Smoothing for Image Segmentation and its Relationship to the Mean Shift
This paper addresses the issues of nonlinear edge-preserving image smoothing and segmentation. A ML-based approach is proposed which uses an iterative algorithm to solve the probl...
Andy Backhouse, Irene Y. H. Gu, Tiesheng Wang
IPL
2006
89views more  IPL 2006»
15 years 6 months ago
Adaptive general perfectly periodic scheduling
We propose an adaptive algorithm Adaptmin to create perfectly periodic schedules. A perfectly periodic schedule schedules a client regularly after a predefined amount of time known...
Shailesh Patil, Vijay K. Garg
INTEGRATION
2007
90views more  INTEGRATION 2007»
15 years 6 months ago
Partitioning-based decoupling capacitor budgeting via sequence of linear programming
In this paper, we propose an efficient algorithm to reduce the voltage noises for on-chip power/ground (P/G) networks of VLSI. The new method is based on the sequence of linear p...
Jeffrey Fan, Sheldon X.-D. Tan, Yici Cai, Xianlong...
PAMI
2010
396views more  PAMI 2010»
15 years 5 months ago
Self-Validated Labeling of Markov Random Fields for Image Segmentation
—This paper addresses the problem of self-validated labeling of Markov random fields (MRFs), namely to optimize an MRF with unknown number of labels. We present graduated graph c...
Wei Feng, Jiaya Jia, Zhi-Qiang Liu
ICDM
2009
IEEE
131views Data Mining» more  ICDM 2009»
15 years 4 months ago
Unified Solution to Nonnegative Data Factorization Problems
In this paper, we restudy the non-convex data factorization problems (regularized or not, unsupervised or supervised), where the optimization is confined in the nonnegative orthan...
Xiaobai Liu, Shuicheng Yan, Jun Yan, Hai Jin