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TIP
2010
182views more  TIP 2010»
14 years 9 months ago
Flexible Manifold Embedding: A Framework for Semi-Supervised and Unsupervised Dimension Reduction
We propose a unified manifold learning framework for semi-supervised and unsupervised dimension reduction by employing a simple but effective linear regression function to map the ...
Feiping Nie, Dong Xu, Ivor Wai-Hung Tsang, Changsh...
159
Voted
BMCBI
2011
14 years 6 months ago
AMDORAP: Non-targeted metabolic profiling based on high-resolution LC-MS
Background: Liquid chromatography-mass spectrometry (LC-MS) utilizing the high-resolution power of an orbitrap is an important analytical technique for both metabolomics and prote...
Hiroki Takahashi, Takuya Morimoto, Naotake Ogasawa...
144
Voted
CMIG
2011
168views more  CMIG 2011»
14 years 6 months ago
Comparing axial CT slices in quantized N-dimensional SURF descriptor space to estimate the visible body region
In this paper, a method is described to automatically estimate the visible body region of a computed tomography (CT) volume image. In order to quantify the body region, a body coo...
Johannes Feulner, Shaohua Kevin Zhou, Elli Angelop...
147
Voted
CVPR
2007
IEEE
16 years 4 months ago
Biased Manifold Embedding: A Framework for Person-Independent Head Pose Estimation
The estimation of head pose angle from face images is an integral component of face recognition systems, human computer interfaces and other human-centered computing applications....
Vineeth Nallure Balasubramanian, Jieping Ye, Sethu...
136
Voted
CVPR
2008
IEEE
16 years 4 months ago
ANSIG - An analytic signature for permutation-invariant two-dimensional shape representation
Many applications require a computer representation of 2D shape, usually described by a set of 2D points. The challenge of this representation is that it must not only capture the...
José J. Rodrigues, Pedro M. Q. Aguiar, Jo&a...