Tangent-Corrected Embedding

Ghodsi, Ali; Huang, Jiapeng; Southey, Finnegan; Schuurmans, Dale

doi:10.1109/cvpr.2005.339

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Image Recognition3

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Cited by 5 publications

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References 12 publications

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“…5. structure, on which the neighboring samples are small transformations of one another [31]. At the same time, as shown in Fig.…”

Section: Image Recognitionmentioning

confidence: 76%

Can under-exploited structure of original-classes help ECOC-based multi-class classification?

2012

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“…5. structure, on which the neighboring samples are small transformations of one another [31]. At the same time, as shown in Fig.…”

Section: Image Recognitionmentioning

confidence: 76%

Can under-exploited structure of original-classes help ECOC-based multi-class classification?

2012

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“…That is, the image data often have an underlying invariant and associated transformations, like shifts, rotation, changes of expression, etc, that naturally imply a manifold on which those neighboring points are small transformations of one another [51]. Therefore, in this subsection, we apply our proposed method to image recognition.…”

Section: Image Recognitionmentioning

confidence: 99%

“…Many researchers have suggested that the image data can often be characterized by a low-dimensional intrinsic manifold [27,31,50,51]. That is, the image data often have an underlying invariant and associated transformations, like shifts, rotation, changes of expression, etc, that naturally imply a manifold on which those neighboring points are small transformations of one another [51].…”

Section: Image Recognitionmentioning

confidence: 99%