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» Learning to Improve both Efficiency and Quality of Planning
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IPMI
2009
Springer
14 years 9 months ago
Marginal Space Learning for Efficient Detection of 2D/3D Anatomical Structures in Medical Images
Recently, marginal space learning (MSL) was proposed as a generic approach for automatic detection of 3D anatomical structures in many medical imaging modalities [1]. To accurately...
Yefeng Zheng, Bogdan Georgescu, Dorin Comaniciu
SIGSOFT
2001
ACM
14 years 9 months ago
An empirical study on the utility of formal routines to transfer knowledge and experience
Most quality and software process improvement frameworks emphasize written (i.e. formal) documentation to convey recommended work practices. However, there is considerable skeptic...
Reidar Conradi, Tore Dybå
CORR
2008
Springer
130views Education» more  CORR 2008»
13 years 7 months ago
Spectrum Allocation in Two-Tier Networks
Abstract-- Two-tier networks, comprising a conventional cellular network overlaid with shorter range hotspots (e.g. femtocells, distributed antennas, or wired relays), offer an eco...
Vikram Chandrasekhar, Jeffrey G. Andrews
ECCV
2008
Springer
14 years 10 months ago
Efficiently Learning Random Fields for Stereo Vision with Sparse Message Passing
As richer models for stereo vision are constructed, there is a growing interest in learning model parameters. To estimate parameters in Markov Random Field (MRF) based stereo formu...
Jerod J. Weinman, Lam Tran, Christopher J. Pal
CVPR
2009
IEEE
15 years 3 months ago
Unsupervised Learning for Graph Matching
Graph matching is an important problem in computer vision. It is used in 2D and 3D object matching and recognition. Despite its importance, there is little literature on learnin...
Marius Leordeanu, Martial Hebert