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Generalization and Properties of the Neural Response 

Bouvrie, Jake; Poggio, Tomaso; Rosasco, Lorenzo; Smale, Steve; Wibisono, Andre (2010-11-19)
Hierarchical learning algorithms have enjoyed tremendous growth in recent years, with many new algorithms being proposed and applied to a wide range of applications. However, despite the apparent success of hierarchical ...
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Learning and Invariance in a Family of Hierarchical Kernels 

Wibisono, Andre; Bouvrie, Jake; Rosasco, Lorenzo; Poggio, Tomaso (2010-07-30)
Understanding invariance and discrimination properties of hierarchical models is arguably the key to understanding how and why such models, of which the the mammalian visual system is one instance, can lead to good ...
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Learning Generic Invariances in Object Recognition: Translation and Scale 

Leibo, Joel Z; Mutch, Jim; Rosasco, Lorenzo; Ullman, Shimon; Poggio, Tomaso (2010-12-30)
Invariance to various transformations is key to object recognition but existing definitions of invariance are somewhat confusing while discussions of invariance are often confused. In this report, we provide an operational ...
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Neurons That Confuse Mirror-Symmetric Object Views 

Mutch, Jim; Leibo, Joel Z; Smale, Steve; Rosasco, Lorenzo; Poggio, Tomaso (2010-12-31)
Neurons in inferotemporal cortex that respond similarly to many pairs of mirror-symmetric images -- for example, 45 degree and -45 degree views of the same face -- have often been reported. The phenomenon seemed to be an ...

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Author
Poggio, Tomaso (4)
Rosasco, Lorenzo (4)
Bouvrie, Jake (2)Leibo, Joel Z (2)Mutch, Jim (2)Smale, Steve (2)Wibisono, Andre (2)Ullman, Shimon (1)Subjectartificial intelligence (1)generic transformations (1)hierarchical learning (1)kernel methods (1)learning theory (1)Mirror Symmetry (1)Object Recognition (1)object recognition (1)primal templates (1)selectivity-invariance trade-off (1)... View MoreDate Issued
2010 (4)
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Yes (4)

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