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» Is Feature Selection Still Necessary
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ICPR
2004
IEEE
14 years 8 months ago
Learning Sample Subspace with Application to Face Detection
In this paper, we present a novel maximum correlation sample subspace method and apply it to human face detection [1] in still images. The algorithm starts by projecting all the t...
Guoping Qiu, Jianzhong Fang
EJASMP
2010
196views more  EJASMP 2010»
13 years 2 months ago
Optimizing Automatic Speech Recognition for Low-Proficient Non-Native Speakers
Computer Assisted Language Learning (CALL) applications for improving the oral skills of low-proficient learners have to cope with nonnative speech that is particularly challengin...
Joost van Doremalen, Catia Cucchiarini, Helmer Str...
IWIC
2007
Springer
14 years 1 months ago
Collaborative Platform for Multilingual Resource Development and Intercultural Communication
The Internet has already connected people and established a mature online community. The use of WWW is also in the main stream of disseminating one’s information and services. In...
Virach Sornlertlamvanich, Thatsanee Charoenporn, K...
ITS
2000
Springer
159views Multimedia» more  ITS 2000»
13 years 11 months ago
Can We Learn from ITSs?
With the rise of VR, the internet, and mobile technologies and the shifts in educational focus from teaching to learning and from solitary to collaborative work, it's easy (bu...
Benedict du Boulay
IJCNN
2008
IEEE
14 years 1 months ago
Active Meta-Learning with Uncertainty Sampling and Outlier Detection
Abstract— Meta-Learning has been used to predict the performance of learning algorithms based on descriptive features of the learning problems. Each training example in this cont...
Ricardo Bastos Cavalcante Prudêncio, Teresa ...