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» An Improvement in Sugeno-Yasukawa Modeler
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INTERSPEECH
2010
15 years 1 months ago
Semi-supervised training of Gaussian mixture models by conditional entropy minimization
In this paper, we propose a new semi-supervised training method for Gaussian Mixture Models. We add a conditional entropy minimizer to the maximum mutual information criteria, whi...
Jui-Ting Huang, Mark Hasegawa-Johnson
MANSCI
2010
73views more  MANSCI 2010»
15 years 1 months ago
Timing of Effort and Reward: Three-Sided Moral Hazard in a Continuous-Time Model
Businesses often need to face the problem of providing incentives for employees to work together effectively on projects that develop over time. This paper derives the optimal con...
Jun Yang
ICASSP
2011
IEEE
14 years 10 months ago
Worst-case based robust adaptive beamforming for general-rank signal models using positive semi-definite covariance constraint
In this paper, we develop a new approach to the robust beamforming for general-rank signal models. Our method is based on the worst-case performance optimization using a semi-de n...
Haihua Chen, Alex B. Gershman
ISBI
2007
IEEE
16 years 29 days ago
Automatic Segmentation of the Bladder Using Deformable Models
We are interested in the fully automatic delineation of the bladder in CT images in the frame of dose calculation for conformational radiotherapy. To this end we fit a series of ...
María Jimena Costa, Hervé Delingette...
VL
2006
IEEE
170views Visual Languages» more  VL 2006»
16 years 20 days ago
A Lightweight Model for End Users' Domain-Specific Data
Many end user programming tools lack adequate support for domain-specific data. We will design a lightweight representation for categories of data, called “topes,” and develop...
Christopher Scaffidi