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ICONIP
2004
14 years 11 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
15 years 11 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
15 years 2 months 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
15 years 2 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»
15 years 1 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