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102
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CEC
2009
IEEE
15 years 7 months ago
A Bacterial Evolutionary Algorithm for automatic data clustering
This paper describes an evolutionary clustering algorithm, which can partition a given dataset automatically into the optimal number of groups through one shot of optimization. The...
Swagatam Das, Archana Chowdhury, Ajith Abraham
ICCV
2007
IEEE
15 years 6 months ago
Multispectral Imaging Using Multiplexed Illumination
Many vision tasks such as scene segmentation, or the recognition of materials within a scene, become considerably easier when it is possible to measure the spectral reflectance o...
Jong-Il Park, Moon-Hyun Lee, Michael D. Grossberg,...
ECCV
2002
Springer
16 years 2 months ago
A Stochastic Algorithm for 3D Scene Segmentation and Reconstruction
In this paper, we present a stochastic algorithm by effective Markov chain Monte Carlo (MCMC) for segmenting and reconstructing 3D scenes. The objective is to segment a range image...
Feng Han, Zhuowen Tu, Song Chun Zhu
SBACPAD
2007
IEEE
157views Hardware» more  SBACPAD 2007»
15 years 6 months ago
Exploring Novel Parallelization Technologies for 3-D Imaging Applications
Multi-dimensional imaging techniques involve the processing of high resolution images commonly used in medical, civil and remote-sensing applications. A barrier commonly encounter...
Diego Rivera, Dana Schaa, Micha Moffie, David R. K...
132
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KDD
2010
ACM
245views Data Mining» more  KDD 2010»
15 years 3 months ago
Flexible constrained spectral clustering
Constrained clustering has been well-studied for algorithms like K-means and hierarchical agglomerative clustering. However, how to encode constraints into spectral clustering rem...
Xiang Wang, Ian Davidson