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ICASSP
2009
IEEE
15 years 8 months ago
A Bayesian NETWORKS approach for dialog modeling: The fusion BN
Bayesian Networks, BNs, are suitable for mixed-initiative dialog modeling allowing a more flexible and natural spoken interaction. This solution can be applied to identify the in...
Fernando F. Fernández-Martínez, Javi...
JVCIR
2010
147views more  JVCIR 2010»
15 years 2 hour ago
Modeling, classifying and annotating weakly annotated images using Bayesian network
We propose a probabilistic graphical model to represent weakly annotated images1 . This model is used to classify images and automatically extend existing annotations to new image...
Sabine Barrat, Salvatore Tabbone
NIPS
2008
15 years 3 months ago
Stochastic Relational Models for Large-scale Dyadic Data using MCMC
Stochastic relational models (SRMs) [15] provide a rich family of choices for learning and predicting dyadic data between two sets of entities. The models generalize matrix factor...
Shenghuo Zhu, Kai Yu, Yihong Gong
ROMAN
2007
IEEE
179views Robotics» more  ROMAN 2007»
15 years 7 months ago
A Bayesian Network Framework for Vision Based Semantic Scene Understanding
— For a robot to understand a scene, we have to infer and extract meaningful information from vision sensor data. Since scene understanding consists in recognizing several visual...
Seung-Bin Im, Keum-Sung Hwang, Sung-Bae Clio
ICMLA
2008
15 years 3 months ago
A Bayesian Approach to Switching Linear Gaussian State-Space Models for Unsupervised Time-Series Segmentation
Time-series segmentation in the fully unsupervised scenario in which the number of segment-types is a priori unknown is a fundamental problem in many applications. We propose a Ba...
Silvia Chiappa