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PPSN
1990
Springer
15 years 10 months ago
Feature Construction for Back-Propagation
T h e ease of learning concepts f r o m examples in empirical machine learning depends on the attributes used for describing the training d a t a . We show t h a t decision-tree b...
Selwyn Piramuthu

Publication
211views
17 years 4 months ago
Congestion Avoidance in Computer Networks with A Connecitonless Network Layer: Part IV: A Selective Binary Feedback Scheme for G
With increasingly widespread use of computer networks, and the use of varied technology for the interconnection of computers, congestion is a significant problem. In this report, w...
K. Ramakrishnan and R. Jain,
CVPR
2009
IEEE
17 years 1 months ago
Active Volume Models for 3D Medical Image Segmentation
In this paper, we propose a novel predictive model for object boundary, which can integrate information from any sources. The model is a dynamic “object” model whose manifes...
Tian Shen (Lehigh University), Hongsheng Li (Lehig...
CVPR
2009
IEEE
1587views Computer Vision» more  CVPR 2009»
17 years 12 days ago
High Dynamic Range Image Reconstruction from Hand-held Cameras
This paper presents a technique for reconstructing a high-quality high dynamic range (HDR) image from a set of differently exposed and possibly blurred images taken with a hand-hel...
Pei-Ying Lu, Tz-Huan Huang, Meng-Sung Wu, Yi-Ting ...
IJCV
2008
282views more  IJCV 2008»
16 years 11 months ago
Stereo Matching Using Population-Based MCMC
In this paper, we propose a new stereo matching method using the population-based Markov Chain Monte Carlo (Pop-MCMC), which belongs to the sampling-based methods. Since the previo...
Wonsik Kim (Seoul National University), Joonyoung ...