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NIPS
2004
13 years 11 months ago
Maximising Sensitivity in a Spiking Network
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
Anthony J. Bell, Lucas C. Parra
MM
2004
ACM
78views Multimedia» more  MM 2004»
14 years 3 months ago
Indexing and matching of polyphonic songs for query-by-singing system
This paper investigates the issues in polyphonic popular song retrieval. The problems that we consider include singing voice extraction, melodic curve representation, and database...
Tat-Wan Leung, Chong-Wah Ngo
ESANN
2004
13 years 11 months ago
Separability of analytic postnonlinear blind source separation with bounded sources
The aim of blind source separation (BSS) is to transform a mixed random vector such that the original sources are recovered. If the sources are assumed to be statistically independ...
Fabian J. Theis, Peter Gruber
ICA
2004
Springer
14 years 3 months ago
Monaural Source Separation Using Spectral Cues
The acoustic environment poses at least two important challenges. First, animals must localise sound sources using a variety of binaural and monaural cues; and second they must sep...
Barak A. Pearlmutter, Anthony M. Zador
WSCG
2004
188views more  WSCG 2004»
13 years 11 months ago
Recognition of Motor Imagery Electroencephalography Using Independent Component Analysis and Machine Classifiers
Motor imagery electroencephalography (EEG), which embodies cortical potentials during mental simulation of left or right finger lifting tasks, can be used as neural input signals ...
Chih-I. Hung, Po-Lei Lee, Yu-Te Wu, Hui-Yun Chen, ...