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ICIP
2004
IEEE
14 years 10 months ago
Distributed compression of the plenoptic function
In this paper, we consider the problem of distributed compression in camera sensor networks. Due to the spatial proximity of the different cameras, acquired images can be highly d...
Nicolas Gehrig, Pier Luigi Dragotti
PKDD
2009
Springer
153views Data Mining» more  PKDD 2009»
14 years 3 months ago
Subspace Regularization: A New Semi-supervised Learning Method
Most existing semi-supervised learning methods are based on the smoothness assumption that data points in the same high density region should have the same label. This assumption, ...
Yan-Ming Zhang, Xinwen Hou, Shiming Xiang, Cheng-L...
ICC
2007
IEEE
301views Communications» more  ICC 2007»
14 years 3 months ago
Network Lifetime Optimization by Duality Approach for Multi-Source and Single-Sink Topology in Wireless Sensor Networks
—The multi-source and single-sink (MSSS) topology, in wireless sensor networks, is defined as the network topology, where all of nodes can gather, receive and transmit data to t...
Hui Wang, Yuhang Yang, Maode Ma, Xiaomin Wang
TIP
2010
113views more  TIP 2010»
13 years 3 months ago
Multiplicative Noise Removal Using Variable Splitting and Constrained Optimization
Multiplicative noise (also known as speckle noise) models are central to the study of coherent imaging systems, such as synthetic aperture radar and sonar, and ultrasound and laser...
José M. Bioucas-Dias, Mário A. T. Fi...
ICCV
2007
IEEE
14 years 10 months ago
Applications of parametric maxflow in computer vision
The maximum flow algorithm for minimizing energy functions of binary variables has become a standard tool in computer vision. In many cases, unary costs of the energy depend linea...
Vladimir Kolmogorov, Yuri Boykov, Carsten Rother