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ICASSP
2009
IEEE
15 years 8 months ago
Unsupervised acoustic and language model training with small amounts of labelled data
We measure the effects of a weak language model, estimated from as little as 100k words of text, on unsupervised acoustic model training and then explore the best method of using ...
Scott Novotney, Richard M. Schwartz, Jeff Ma
ASIAN
2007
Springer
129views Algorithms» more  ASIAN 2007»
15 years 5 months ago
An Integrated Model for Access Control and Information Flow Requirements
Current information systems are more and more complex. They require more interactions between different components and users. So, ensuring system security must not be limited to us...
Samiha Ayed, Nora Cuppens-Boulahia, Fréd&ea...
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
CVPR
2007
IEEE
16 years 3 months ago
Modelling Objects using Distribution and Topology of Multiscale Region Pairs
We propose a method for simultaneous detection, localization and segmentation of objects of a known category. We show that this is possible by using segments as features. To this ...
Himanshu Arora, Narendra Ahuja
SDM
2008
SIAM
144views Data Mining» more  SDM 2008»
15 years 3 months ago
Active Learning with Model Selection in Linear Regression
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
Masashi Sugiyama, Neil Rubens