Learning Stable Group Invariant Representations with Convolutional Networks
نویسندگان
چکیده
Many signal categories in vision and auditory problems are invariant to the action of transformation groups, such as translations, rotations or frequency transpositions. This property motivates the study of signal representations which are also invariant to the action of these transformation groups. For instance, translation invariance can be achieved with a registration or with auto-correlation measures.
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ورودعنوان ژورنال:
- CoRR
دوره abs/1301.3537 شماره
صفحات -
تاریخ انتشار 2013