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NECO
1998
116views more  NECO 1998»
15 years 3 months ago
GTM: The Generative Topographic Mapping
Latent variable models represent the probability density of data in a space of several dimensions in terms of a smaller number of latent, or hidden, variables. A familiar example ...
Christopher M. Bishop, Markus Svensén, Chri...
ICASSP
2010
IEEE
15 years 1 months ago
A sparse component model of source signals and its application to blind source separation
In this paper, we propose a new method of blind source separation (BSS) for music signals. Our method has the following characteristics: 1) the method is a combination of the spar...
Yu Kitano, Hirokazu Kameoka, Yosuke Izumi, Nobutak...
124
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NAACL
2010
15 years 1 months ago
Bayesian Inference for Finite-State Transducers
We describe a Bayesian inference algorithm that can be used to train any cascade of weighted finite-state transducers on end-toend data. We also investigate the problem of automat...
David Chiang, Jonathan Graehl, Kevin Knight, Adam ...
ICCV
2009
IEEE
15 years 1 months ago
SURF Tracking
Most motion-based tracking algorithms assume that objects undergo rigid motion, which is most likely disobeyed in real world. In this paper, we present a novel motionbased trackin...
Wei He, Takayoshi Yamashita, Hongtao Lu, Shihong L...
FPL
2007
Springer
94views Hardware» more  FPL 2007»
15 years 9 months ago
A Many-core Implementation based on the Reconfigurable Mesh Model
The reconfigurable mesh is a model for massively parallel computing for which many algorithms with very low complexity have been developed. These algorithms execute cycles of bus...
Heiner Giefers, Marco Platzner