17 search results - page 2 / 4 » Invariance of MLP Training to Input Feature De-correlation |
WAPCV
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
Noisy or distorted video/audio training sets represent constant challenges in automated identification and verification tasks. We propose the method of Mutual Interdependence An...
ISMIR
2004
Springer
13 years 10 months ago
2004
Springer
In this paper is described a data-driven algorithm for the functionally correct spelling of MIDI pitch values in terms of Western musical notation. Input is in the form of MIDI fi...
ICMCS
2005
IEEE
13 years 10 months ago
2005
IEEE
In audio fingerprinting, an audio clip must be recognized by matching an extracted fingerprint to a database of previously computed fingerprints. The fingerprints should reduc...
DSN
2008
IEEE
13 years 11 months ago
2008
IEEE
In the near future, hardware is expected to become increasingly vulnerable to faults due to continuously decreasing feature size. Software-level symptoms have previously been used...