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» Alignment using Spectral Clusters
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PAMI
2007
202views more  PAMI 2007»
13 years 9 months ago
Weighted Graph Cuts without Eigenvectors A Multilevel Approach
—A variety of clustering algorithms have recently been proposed to handle data that is not linearly separable; spectral clustering and kernel k-means are two of the main methods....
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
ICASSP
2009
IEEE
14 years 4 months ago
On the phonetic information in ultrasonic microphone signals
We study the phonetic information in the signal from an ultrasonic “microphone”, a device that emits an ultrasonic wave toward a speaker and receives the reflected, Doppler-s...
Karen Livescu, Bo Zhu, James R. Glass
PR
2006
116views more  PR 2006»
13 years 10 months ago
Correspondence matching using kernel principal components analysis and label consistency constraints
This paper investigates spectral approaches to the problem of point pattern matching. We make two contributions. First, we consider rigid point-set alignment. Here we show how ker...
Hongfang Wang, Edwin R. Hancock
SMI
2007
IEEE
164views Image Analysis» more  SMI 2007»
14 years 4 months ago
Automatic multiview quadruple alignment of unordered range scans
This paper presents a new multiview alignment algorithm that performs both the coarse and fine alignment of unordered sets of range scans. Our algorithm selects quadruples of ran...
Frank B. ter Haar, Remco C. Veltkamp
FGR
2008
IEEE
255views Biometrics» more  FGR 2008»
14 years 4 months ago
Aligned Cluster Analysis for temporal segmentation of human motion
Temporal segmentation of human motion into actions is a crucial step for understanding and building computational models of human motion. Several issues contribute to the challeng...
Feng Zhou, Fernando De la Torre, Jessica K. Hodgin...