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» Kernel Trick Embedded Gaussian Mixture Model
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CVPR
2007
IEEE
14 years 4 months ago
Fisher Kernels on Visual Vocabularies for Image Categorization
Within the field of pattern classification, the Fisher kernel is a powerful framework which combines the strengths of generative and discriminative approaches. The idea is to ch...
Florent Perronnin, Christopher R. Dance
ICMCS
2006
IEEE
147views Multimedia» more  ICMCS 2006»
14 years 3 months ago
A Secret Key Based Multiscale Fragile Watermark in the Wavelet Domain
The distribution of the wavelet coefficients in 2-D discrete wavelet transform (DWT) subspaces can be well described by a Gaussian mixture statistical model. In this paper, a secr...
Hua Yuan, Xiao-Ping Zhang
NIPS
2004
13 years 11 months ago
Parametric Embedding for Class Visualization
In this paper, we propose a new method, Parametric Embedding (PE), for visualizing the posteriors estimated over a mixture model. PE simultaneously embeds both objects and their c...
Tomoharu Iwata, Kazumi Saito, Naonori Ueda, Sean S...
ISM
2006
IEEE
150views Multimedia» more  ISM 2006»
14 years 3 months ago
Blind Detection for Additive Embedding Using Underdetermined ICA
This paper presents an efficient blind watermark detection scheme for additive embedding (AE) based on underdetermined independent component analysis (ICA) framework. The propose...
Hafiz Malik, Ashfaq A. Khokhar, Rashid Ansari, Mar...
ICCV
2009
IEEE
1824views Computer Vision» more  ICCV 2009»
15 years 2 months ago
Beyond the Euclidean distance: Creating effective visual codebooks using the histogram intersection kernel
Common visual codebook generation methods used in a Bag of Visual words model, e.g. k-means or Gaussian Mixture Model, use the Euclidean distance to cluster features into visual...
Jianxin Wu, James M. Rehg