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IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2007)
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Odelia Schwartz et al.
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How MT cells analyze the motion of visual patterns
Nicole C. Rust et al.
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Statistical model of natural stimuli predicts edge-like pooling of spatial frequency channels in V2 -: art. no. 12
A Hyvärinen et al.
BMC NEUROSCIENCE (2005)
A hierarchical Bayesian model for learning nonlinear statistical regularities in nonstationary natural signals
KL Yan et al.
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P Berkes et al.
JOURNAL OF VISION (2005)
Bilinear sparse coding for invariant vision
DB Grimes et al.
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Learning higher-order structures in natural images
Y Karklin et al.
NETWORK-COMPUTATION IN NEURAL SYSTEMS (2003)
Bubbles:: a unifying framework for low-level statistical properties of natural image sequences
A Hyvärinen et al.
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PO Hoyer et al.
VISION RESEARCH (2002)
Slow feature analysis: Unsupervised learning of invariances
L Wiskott et al.
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Learning the invariance properties of complex cells from their responses to natural stimuli
W Einhäuser et al.
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K Tsunoda et al.
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Natural signal statistics and sensory gain control
O Schwartz et al.
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Topographic independent component analysis
A Hyvärinen et al.
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A Hyvärinen et al.
NEURAL COMPUTATION (2000)
Separating style and content with bilinear models
JB Tenenbaum et al.
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