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» Methods for Combining Statistical Models of Music
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ICASSP
2010
IEEE
13 years 7 months ago
Blind rhythmic source separation: Nonnegativity and repeatability
An unsupervised method is proposed aiming at extracting rhythmic sources from commercial polyphonic music whose number of channels is limited to one. Commercial music signals are ...
Minje Kim, Jiho Yoo, Kyeongok Kang, Seungjin Choi
NIPS
1998
13 years 9 months ago
Modeling Surround Suppression in V1 Neurons with a Statistically Derived Normalization Model
We examine the statistics of natural monochromatic images decomposed using a multi-scale wavelet basis. Although the coefficients of this representation are nearly decorrelated, t...
Eero P. Simoncelli, Odelia Schwartz
FORMATS
2007
Springer
14 years 9 days ago
Combining Formal Verification with Observed System Execution Behavior to Tune System Parameters
Resource limited DRE (Distributed Real-time Embedded) systems can benefit greatly from dynamic adaptation of system parameters. We propose a novel approach that employs iterative t...
Minyoung Kim, Mark-Oliver Stehr, Carolyn L. Talcot...
IEEEMSP
2002
IEEE
117views Multimedia» more  IEEEMSP 2002»
14 years 1 months ago
Hidden Markov model for automatic transcription of MIDI signals
— This paper describes a Hidden Markov Model (HMM)-based method of automatic transcription of MIDI (Musical Instrument Digital Interface) signals of performed music. The problem ...
Haruto Takeda, Naoki Saito, Tomoshi Otsuki, Mitsur...
IJCV
2006
171views more  IJCV 2006»
13 years 8 months ago
Combining Generative and Discriminative Models in a Framework for Articulated Pose Estimation
We develop a method for the estimation of articulated pose, such as that of the human body or the human hand, from a single (monocular) image. Pose estimation is formulated as a s...
Rómer Rosales, Stan Sclaroff