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» Learn .MT: A New Approach to Incremental Learning
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157
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SMARTNET
2000
15 years 7 months ago
Towards Dynamic Composition of Hybrid Communication Services
: Due to the deregulation of the telecom network and the Internet, users will have access to an increasing number of heterogeneous communication services and will need to adapt the...
Jacqueline Floch, Rolv Bræk
ICASSP
2010
IEEE
15 years 6 months ago
Towards multi-speaker unsupervised speech pattern discovery
In this paper, we explore the use of a Gaussian posteriorgram based representation for unsupervised discovery of speech patterns. Compared with our previous work, the new approach...
Yaodong Zhang, James R. Glass
DSS
2008
102views more  DSS 2008»
15 years 6 months ago
Diagnosing decision quality
Human decision making is error-prone and often subject to biases. Important information cues are misweighted and feedback delays hamper learning. Experimentally, task information ...
Michael J. Davern, Ravi Mantena, Edward A. Stohr
180
Voted
VC
2008
143views more  VC 2008»
15 years 6 months ago
Example-driven animation synthesis
We introduce an easy and intuitive approach to create animations by assembling existing animations. Using our system, the user needs only to simply scribble regions of interest and...
Yu-Shuen Wang, Tong-Yee Lee
ICPR
2010
IEEE
15 years 5 months ago
Data-Driven Lung Nodule Models for Robust Nodule Detection in Chest CT
The quality of the lung nodule models determines the success of lung nodule detection. This paper describes aspects of our data-driven approach for modeling lung nodules using the...
Amal Farag, James Graham, Aly A. Farag