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MCS
2009
Springer
14 years 3 months ago
When Semi-supervised Learning Meets Ensemble Learning
Abstract. Semi-supervised learning and ensemble learning are two important learning paradigms. The former attempts to achieve strong generalization by exploiting unlabeled data; th...
Zhi-Hua Zhou
IBPRIA
2007
Springer
13 years 10 months ago
Automatic Learning of Conceptual Knowledge in Image Sequences for Human Behavior Interpretation
This work describes an approach for the interpretation and explanation of human behavior in image sequences, within the context of a Cognitive Vision System. The information source...
Pau Baiget, Carles Fernández Tena, F. Xavie...
AIIA
2001
Springer
14 years 1 months ago
A Knowledge-Based Neurocomputing Approach to Extract Refined Linguistic Rules from Data
– This paper proposes a knowledge-based neurocomputing approach to extract and refine a set of linguistic rules from data. A neural network is designed along with its learning al...
Giovanna Castellano, Anna Maria Fanelli
ICALT
2006
IEEE
14 years 2 months ago
The Challenge of Feedback Personalization to Learning Styles in a Web-Based Learning System
Feedback is information that is provided to a user to inform him/her about the result of his/her action and to motivate him/her to further interact with the system. In web-based l...
Ekaterina Vasilyeva, Mykola Pechenizkiy, Seppo Puu...
ICB
2009
Springer
184views Biometrics» more  ICB 2009»
14 years 3 months ago
Challenges and Research Directions for Adaptive Biometric Recognition Systems
Biometric authentication using mobile devices is becoming a convenient and important means to secure access to remote services such as telebanking and electronic transactions. Such...
Norman Poh, Rita Wong, Josef Kittler, Fabio Roli