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NIPS
1997
13 years 10 months ago
Learning Generative Models with the Up-Propagation Algorithm
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
Jong-Hoon Oh, H. Sebastian Seung
CASCON
1996
72views Education» more  CASCON 1996»
13 years 10 months ago
A robot agent that can search
Object search is the task of eciently searching for a given 3D object in a given 3D environment by an agent equipped with a camera for target detection and, if the environment con...
Yiming Ye, John K. Tsotsos
TRECVID
2007
13 years 10 months ago
TRECVID 2007 High Level Feature Extraction experiments at JOANNEUM RESEARCH
This paper describes our experiments for the high level feature extraction task in TRECVid 2007. We submitted the following five runs: • A jr1 1: Baseline run using early fusio...
Roland Mörzinger, Georg Thallinger
WCE
2007
13 years 10 months ago
VHDL Implementation of Multiplierless, High Performance DWT Filter Bank
—The JPEG 2000 image coding standard employs the biorthogonal 9/7 wavelet for lossy compression. The performance of hardware implementation of 9/7-filter bank depends on accuracy...
M. M. Aswale, R. B. Patil
3DOR
2008
13 years 10 months ago
A 3D Face Recognition Algorithm Using Histogram-based Features
We present an automatic face recognition approach, which relies on the analysis of the three-dimensional facial surface. The proposed approach consists of two basic steps, namely ...
Xuebing Zhou, Helmut Seibert, Christoph Busch, Wol...
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