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MLMI
2007
Springer
14 years 4 months ago
Modeling Vocal Interaction for Segmentation in Meeting Recognition
Automatic segmentation is an important technology for both automatic speech recognition and automatic speech understanding. In meetings, participants typically vocalize for only a ...
Kornel Laskowski, Tanja Schultz
HICSS
2003
IEEE
105views Biometrics» more  HICSS 2003»
14 years 4 months ago
A Content Analytic Comparison of FTF and ALN Case-Study Discussions
While much research has shown that ALNs can produce learning equivalent to FTF classrooms, there has been little empirical research that explicitly and rigorously explores similar...
Robert Heckman, Hala Annabi
NIPS
2000
13 years 12 months ago
Rate-coded Restricted Boltzmann Machines for Face Recognition
We describe a neurally-inspired, unsupervised learning algorithm that builds a non-linear generative model for pairs of face images from the same individual. Individuals are then ...
Yee Whye Teh, Geoffrey E. Hinton
NIPS
1997
13 years 12 months ago
Intrusion Detection with Neural Networks
With the rapid expansion of computer networks during the past few years, security has become a crucial issue for modern computer systems. A good way to detect illegitimate use is ...
Jake Ryan, Meng-Jang Lin, Risto Miikkulainen
CE
2008
76views more  CE 2008»
13 years 10 months ago
Determining factors of the use of e-learning environments by university teachers
E-learning environments increasingly serve as important infrastructural features of universities that enable teachers to provide students with different representations of knowled...
Hossein Mahdizadeh, Harm Biemans, Martin Mulder