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KDD
2007
ACM
276views Data Mining» more  KDD 2007»
14 years 9 months ago
Nonlinear adaptive distance metric learning for clustering
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu
ICIAP
2005
ACM
14 years 8 months ago
Asymmetric 3D/2D Processing: A Novel Approach for Face Recognition
Facial image analysis is very useful in many applications such as video compression, talking heads, or biometrics. During the last few years, many algorithms have been proposed in ...
Daniel Riccio, Jean-Luc Dugelay
MOBIHOC
2005
ACM
14 years 8 months ago
Inducing spatial clustering in MAC contention for spread spectrum ad hoc networks
This paper proposes a new principle for designing MAC protocols for spread spectrum based ad hoc networks ? inducing spatial clustering in contending transmitters/receivers. We fi...
Xiangying Yang, Gustavo de Veciana
SODA
2010
ACM
177views Algorithms» more  SODA 2010»
14 years 6 months ago
Convergence, Stability, and Discrete Approximation of Laplace Spectra
Spectral methods have been widely used in a broad range of application fields. One important object involved in such methods is the Laplace-Beltrami operator of a manifold. Indeed...
Tamal K. Dey, Pawas Ranjan, Yusu Wang
CVPR
2010
IEEE
14 years 5 months ago
Curious Snakes: a minimum-latency solution to the cluttered background problem in active contours
We present a region-based active contour detection algorithm for objects that exhibit relatively homogeneous photometric characteristics (e.g. smooth color or gray levels), embe...
Ganesh Sundaramoorthi, Stefano Soatto, Anthony Yez...