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» Approximation Algorithms for Clustering Problems
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IAJIT
2006
109views more  IAJIT 2006»
15 years 6 months ago
Image Segmentation Based on Watershed and Edge Detection Techniques
: A combination of K-means, watershed segmentation method, and Difference In Strength (DIS) map was used to perform image segmentation and edge detection tasks. We obtained an init...
Nassir Salman
147
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IR
2007
15 years 6 months ago
Regularizing query-based retrieval scores
In information retrieval, the cluster hypothesis states: closely related documents tend to be relevant to the same request. We exploit this hypothesis directly by adjusting queryb...
Fernando Diaz
IGARSS
2009
15 years 4 months ago
High Performance Computing for Hyperspectral Image Analysis: Perspective and State-of-the-art
The main purpose of this paper is to describe available (HPC)based implementations of remotely sensed hyperspectral image processing algorithms on multi-computer clusters, heterog...
Antonio Plaza, Qian Du, Yang-Lang Chang
TSMC
2011
355views more  TSMC 2011»
15 years 1 months ago
Particle Swarm Optimization in Wireless-Sensor Networks: A Brief Survey
—Wireless sensor networks (WSNs) are networks of autonomous nodes used for monitoring an environment. Developers of WSNs face challenges that arise from communication link failur...
Raghavendra V. Kulkarni, Ganesh K. Venayagamoorthy
CVPR
2011
IEEE
14 years 10 months ago
Nonlocal Matting
This work attempts to considerably reduce the amount of user effort in the natural image matting problem. The key observation is that the nonlocal principle, introduced to denoise...
Philip Lee, Ying Wu