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» An information geometric approach to supervised dimensionali...
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CVPR
2005
IEEE
14 years 9 months ago
Discriminant Analysis with Tensor Representation
In this paper, we present a novel approach to solving the supervised dimensionality reduction problem by encoding an image object as a general tensor of 2nd or higher order. First...
Shuicheng Yan, Dong Xu, Qiang Yang, Lei Zhang, Xia...
ICASSP
2011
IEEE
12 years 11 months ago
A sampling-based environment population projection approach for rapid acoustic model adaptation
We propose an environment population projection (EPP) approach for rapid acoustic model adaptation to reduce environment mismatches with limited amounts of adaptation data. This a...
Yu Tsao, Shigeki Matsuda, Shinsuke Sakai, Ryosuke ...
AAAI
2006
13 years 8 months ago
Tensor Embedding Methods
Over the past few years, some embedding methods have been proposed for feature extraction and dimensionality reduction in various machine learning and pattern classification tasks...
Guang Dai, Dit-Yan Yeung
PAMI
2006
230views more  PAMI 2006»
13 years 7 months ago
Shape Registration in Implicit Spaces Using Information Theory and Free Form Deformations
We present a novel variational and statistical approach for shape registration. Shapes of interest are implicitly embedded in a higher dimensional space of distance transforms. In...
Xiaolei Huang, Nikos Paragios, Dimitris N. Metaxas
NIPS
2007
13 years 8 months ago
Locality and low-dimensions in the prediction of natural experience from fMRI
Functional Magnetic Resonance Imaging (fMRI) provides dynamical access into the complex functioning of the human brain, detailing the hemodynamic activity of thousands of voxels d...
Francois Meyer, Greg Stephens