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» Learning to learn with the informative vector machine
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TOG
2008
98views more  TOG 2008»
13 years 9 months ago
Upright orientation of man-made objects
Humans usually associate an upright orientation with objects, placing them in a way that they are most commonly seen in our surroundings. While it is an open challenge to recover ...
Hongbo Fu, Daniel Cohen-Or, Gideon Dror, Alla Shef...
CVIU
2007
146views more  CVIU 2007»
13 years 8 months ago
Face detection in gray scale images using locally linear embeddings
The problem of face detection remains challenging because faces are non-rigid objects that have a high degree of variability with respect to head rotation, illumination, facial ex...
Samuel Kadoury, Martin D. Levine
NN
2002
Springer
115views Neural Networks» more  NN 2002»
13 years 8 months ago
A self-organising network that grows when required
The ability to grow extra nodes is a potentially useful facility for a self-organising neural network. A network that can add nodes into its map space can approximate the input sp...
Stephen Marsland, Jonathan Shapiro, Ulrich Nehmzow
DICTA
2009
13 years 6 months ago
Context-Based Appearance Descriptor for 3D Human Pose Estimation from Monocular Images
In this paper we propose a novel appearance descriptor for 3D human pose estimation from monocular images using a learning-based technique. Our image-descriptor is based on the int...
Suman Sedai, Mohammed Bennamoun, Du Q. Huynh
ICASSP
2011
IEEE
13 years 24 days ago
Using the kernel trick in compressive sensing: Accurate signal recovery from fewer measurements
Compressive sensing accurately reconstructs a signal that is sparse in some basis from measurements, generally consisting of the signal’s inner products with Gaussian random vec...
Hanchao Qi, Shannon Hughes