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» 2D Shape Recognition Using Information Theoretic Kernels
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KDD
2004
ACM
190views Data Mining» more  KDD 2004»
15 years 10 months ago
Kernel k-means: spectral clustering and normalized cuts
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
98
Voted
PCM
2010
Springer
223views Multimedia» more  PCM 2010»
14 years 8 months ago
Discovering Motion Patterns for Human Action Recognition
In this paper, we propose a novel Spatiotemporal Interest Point (MC-STIP) detector based on the coherent motion pattern around each voxel in videos. Our detector defines the local...
Ziming Zhang, Jiawei Huang, Ze-Nian Li
97
Voted
PAMI
2006
221views more  PAMI 2006»
14 years 10 months ago
Face Recognition from a Single Training Image under Arbitrary Unknown Lighting Using Spherical Harmonics
In this paper, we propose two novel methods for face recognition under arbitrary unknown lighting by using spherical harmonics illumination representation, which require only one t...
Lei Zhang 0002, Dimitris Samaras
82
Voted
TSP
2008
134views more  TSP 2008»
14 years 9 months ago
A Mapping-Based Design for Nonsubsampled Hourglass Filter Banks in Arbitrary Dimensions
Multidimensional hourglass filter banks decompose the frequency spectrum of input signals into hourglass-shaped directional subbands, each aligned with one of the frequency axes. T...
Yue M. Lu, Minh N. Do
101
Voted
DGCI
2003
Springer
15 years 3 months ago
Shape Similarity and Visual Parts
Abstract. Human perception of shape is based on visual parts of objects to a point that a single, significant visual part is sufficient to recognize the whole object. For example,...
Longin Jan Latecki, Rolf Lakämper, Diedrich W...