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» Large-scale manifold learning
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ICPR
2008
IEEE
14 years 11 months ago
Unsupervised image embedding using nonparametric statistics
Embedding images into a low dimensional space has a wide range of applications: visualization, clustering, and pre-processing for supervised learning. Traditional dimension reduct...
Guobiao Mei, Christian R. Shelton
ICPR
2008
IEEE
14 years 4 months ago
Ear recognition using LLE and IDLLE algorithm
Although ear recognition has been researched widely, there still exist some problems to be resolved in depth such as multi-pose ear recognition which is rarely focused on. In this...
Zhaoxia Xie, Zhichun Mu
NIPS
2008
13 years 11 months ago
Spectral Hashing
Semantic hashing[1] seeks compact binary codes of data-points so that the Hamming distance between codewords correlates with semantic similarity. In this paper, we show that the p...
Yair Weiss, Antonio Torralba, Robert Fergus
KI
2007
Springer
13 years 9 months ago
Modeling Human-Level Intelligence by Integrated Cognition in a Hybrid Architecture
Various forms of reasoning, the profusion of knowledge, the gap between neuro-inspired approaches and conceptual representations, the problem of inconsistent data input, and the ma...
Kai-Uwe Kühnberger, Tonio Wandmacher, Angela ...
IJON
2002
88views more  IJON 2002»
13 years 9 months ago
Curved feature metrics in models of visual cortex
We study the relation between maps of a high-dimensional stimulus manifold onto an essentially two-dimensional cortical area and low-dimensional maps of stimulus features such as ...
Norbert Michael Mayer, J. Michael Herrmann, Theo G...