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» Algorithms for the Sample Mean of Graphs
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CVPR
2010
IEEE
15 years 9 months ago
Adaptive Generic Learning for Face Recognition from a Single Sample per Person
Real-world face recognition systems often have to face the single sample per person (SSPP) problem, that is, only a single training sample for each person is enrolled in the datab...
Yu Su, Shiguang Shan, Xilin Chen, wen Gao
ICC
2009
IEEE
162views Communications» more  ICC 2009»
15 years 11 months ago
Distributed Uplink Signal Processing of Cooperating Base Stations Based on IQ Sample Exchange
—Cellular systems in general suffer from co-channel interference, when simultaneous transmissions in other cells use the same physical resources. In order to mitigate such co-cha...
Christian Hoymann, Laetitia Falconetti, Rohit Gupt...
TVCG
2008
110views more  TVCG 2008»
15 years 4 months ago
Visibility-driven Mesh Analysis and Visualization through Graph Cuts
In this paper we present an algorithm that operates on a triangular mesh and classifies each face of a triangle as either inside or outside. We present three example applications o...
Kaichi Zhou, Eugene Zhang, Jirí Bittner, Pe...
NIPS
2008
15 years 5 months ago
Online Prediction on Large Diameter Graphs
We continue our study of online prediction of the labelling of a graph. We show a fundamental limitation of Laplacian-based algorithms: if the graph has a large diameter then the ...
Mark Herbster, Guy Lever, Massimiliano Pontil
TDSC
2008
83views more  TDSC 2008»
15 years 4 months ago
A Precise Termination Condition of the Probabilistic Packet Marking Algorithm
The probabilistic packet marking (PPM) algorithm is a promising way to discover the Internet map or an attack graph that the attack packets traversed during a distributed denial-of...
T. Y. Wong, Man Hon Wong, John C. S. Lui