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ICONIP
2004
13 years 9 months ago
Non-linear Dimensionality Reduction by Locally Linear Isomaps
Algorithms for nonlinear dimensionality reduction (NLDR) find meaningful hidden low-dimensional structures in a high-dimensional space. Current algorithms for NLDR are Isomaps, Loc...
Ashutosh Saxena, Abhinav Gupta, Amitabha Mukerjee
ICPR
2008
IEEE
14 years 8 months ago
Local Regularized Least-Square Dimensionality Reduction
In this paper, we propose a new nonlinear dimensionality reduction algorithm by adopting regularized least-square criterion on local areas of the data distribution. We first propo...
Changshui Zhang, Yangqing Jia
FOCS
2002
IEEE
14 years 19 days ago
Global Information from Local Observation
We observe a certain random process on a graph ”locally”, i.e., in the neighborhood of a node, and would like to derive information about ”global” properties of the graph....
Itai Benjamini, László Lovász
ICNP
1998
IEEE
13 years 12 months ago
QGMA: A New MAC Protocol for Supporting QoS in Wireless Local Area Networks
In this paper, we propose a novel MAC protocol, called Quality-ofservice Guarantee Multiple Access (QGMA), in wireless local area networks to support the quality of service requir...
Yi Ye, Chao-Ju Hou, Ching-Chih Han
3DPVT
2004
IEEE
159views Visualization» more  3DPVT 2004»
13 years 11 months ago
Blind Watermarking of 3D Shapes using Localized Constraints
This paper develops a digital watermarking methodology for 3-D graphical objects defined by polygonal meshes. In watermarking or fingerprinting the aim is to embed a code in a giv...
Adrian G. Bors