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ICASSP
2010
IEEE
14 years 12 months ago
Classifying laughter and speech using audio-visual feature prediction
In this study, a system that discriminates laughter from speech by modelling the relationship between audio and visual features is presented. The underlying assumption is that thi...
Stavros Petridis, Ali Asghar, Maja Pantic
CORR
2010
Springer
167views Education» more  CORR 2010»
14 years 12 months ago
Network Flow Algorithms for Structured Sparsity
We consider a class of learning problems that involve a structured sparsityinducing norm defined as the sum of -norms over groups of variables. Whereas a lot of effort has been pu...
Julien Mairal, Rodolphe Jenatton, Guillaume Obozin...
CORR
2010
Springer
150views Education» more  CORR 2010»
14 years 12 months ago
Extraction of Symbolic Rules from Artificial Neural Networks
Although backpropagation ANNs generally predict better than decision trees do for pattern classification problems, they are often regarded as black boxes, i.e., their predictions c...
S. M. Kamruzzaman, Md. Monirul Islam
AIEDU
2006
89views more  AIEDU 2006»
14 years 12 months ago
Learner Centred Design in the Adventure Author Project
Involving stakeholders at an early stage of learning environment design enables researchers to base a system around the needs of learners. By working directly with learners, resear...
Seth Goolnik, Judy Robertson, Judith Good
ALGORITHMICA
2006
74views more  ALGORITHMICA 2006»
14 years 12 months ago
Parallelizing Feature Selection
Classification is a key problem in machine learning/data mining. Algorithms for classification have the ability to predict the class of a new instance after having been trained on...
Jerffeson Teixeira de Souza, Stan Matwin, Nathalie...