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CVPR
2001
IEEE
16 years 8 months ago
Three-Dimensional Medial Shape Representation Incorporating Object Variability
This paper presents a novel processing scheme for the automatic computation of a medial shape model which is representative for an object population with shape variability. The se...
Martin Styner, Guido Gerig
ICML
2009
IEEE
16 years 7 months ago
Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
There has been much interest in unsupervised learning of hierarchical generative models such as deep belief networks. Scaling such models to full-sized, high-dimensional images re...
Honglak Lee, Roger Grosse, Rajesh Ranganath, Andre...
GBRPR
2009
Springer
16 years 1 months ago
On Computing Canonical Subsets of Graph-Based Behavioral Representations
The collection of behavior protocols is a common practice in human factors research, but the analysis of these large data sets has always been a tedious and time-consuming process....
Walter C. Mankowski, Peter Bogunovich, Ali Shokouf...
ICASSP
2008
IEEE
16 years 1 months ago
Encoding large array signals into a 3D sound field representation for selective listening point audio based on blind source sepa
A sound eld reproduction method which uses blind source separation and head-related transfer function is proposed. In the proposed system, multichannel acoustic signals captured a...
Kenta Niwa, Takanori Nishino, Kazuya Takeda
WACV
2008
IEEE
16 years 1 months ago
Mosaicfaces: a discrete representation for face recognition
Most face recognition algorithms use a “distancebased” approach: gallery and probe images are projected into a low dimensional feature space and decisions about matching are b...
Jania Aghajanian, Simon J. D. Prince