Local feature analysis: A general statistical theory for object representation

PS Penev, JJ Atick - Network: computation in neural systems, 1996 - Taylor & Francis
Low-dimensional representations of sensory signals are key to solving many of the
computational problems encountered in high-level vision. Principal component analysis …
被引用次数：981 相关文章

Local feature analysis: a general statistical theory for object representation

PS Penev, JJ Atick - Network: Computation in Neural Systems, 1996 - elibrary.ru
Low-dimensional representations of sensory signals are key to solving many of the
computational problems encountered in high-level vision. Principal component analysis …

Local feature analysis: a general statistical theory for object representation

PS Penev, JJ Atick - Network: Computation in Neural Systems, 1996 - iopscience.iop.org
Low-dimensional representations of sensory signals are key to solving many of the
computational problems encountered in high-level vision. Principal component analysis …

[引用][C] Local feature analysis: A general statistical theory for object representation

P PENEV - Netw. Comput Neural Syst., 1996 - cir.nii.ac.jp

[引用][C] Local Feature Analysis: a General Statistical Theory for Object Representation

P PENEV - Network: Computation in Neural Systems, 1996 - cir.nii.ac.jp