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» Learning Mixtures of Gaussians
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ICASSP
2011
IEEE
14 years 10 months ago
Arccosine kernels: Acoustic modeling with infinite neural networks
Neural networks are a useful alternative to Gaussian mixture models for acoustic modeling; however, training multilayer networks involves a difficult, nonconvex optimization that...
Chih-Chieh Cheng, Brian Kingsbury
ICASSP
2011
IEEE
14 years 10 months ago
Bird species recognition combining acoustic and sequence modeling
The goal of this work was to explore modeling techniques to improve bird species classification from audio samples. We first developed an unsupervised approach to obtain approxima...
Martin Graciarena, Michelle Delplanche, Elizabeth ...
ICASSP
2011
IEEE
14 years 10 months ago
Shout detection in noise
For the task of detecting shouted speech in a noisy environment, this paper introduces a system based on mel frequency cepstral coefficient (MFCC) feature extraction, unsupervise...
Jouni Pohjalainen, Paavo Alku, Tomi Kinnunen
ICRA
2007
IEEE
155views Robotics» more  ICRA 2007»
16 years 23 days ago
Value Function Approximation on Non-Linear Manifolds for Robot Motor Control
— The least squares approach works efficiently in value function approximation, given appropriate basis functions. Because of its smoothness, the Gaussian kernel is a popular an...
Masashi Sugiyama, Hirotaka Hachiya, Christopher To...
NIPS
2008
15 years 8 months ago
Adapting to a Market Shock: Optimal Sequential Market-Making
We study the profit-maximization problem of a monopolistic market-maker who sets two-sided prices in an asset market. The sequential decision problem is hard to solve because the ...
Sanmay Das, Malik Magdon-Ismail