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CVPR
2010
IEEE
15 years 3 months ago
Adaptive Generic Learning for Face Recognition from a Single Sample per Person
Real-world face recognition systems often have to face the single sample per person (SSPP) problem, that is, only a single training sample for each person is enrolled in the datab...
Yu Su, Shiguang Shan, Xilin Chen, wen Gao
SEMCO
2009
IEEE
15 years 4 months ago
Ontology Extraction from Existing Educational Content to Improve Personalized e-Learning Experiences
Nowadays, the use of domain ontologies in e-Learning applications is rapidly increasing due to the important role they play in knowledge representation, sharing of didactical mate...
Nicola Capuano, Luca Dell'Angelo, Francesco Orciuo...
IJCAI
2003
14 years 11 months ago
A Learning-Based Jam Session System that Imitates a Player's Personality Model
This paper describes a jam session system that enables a human player to interplay with virtual players which can imitate the player personality models of various human players. P...
Masatoshi Hamanaka, Masataka Goto, Hideki Asoh, No...
JMLR
2010
118views more  JMLR 2010»
14 years 4 months ago
Learning to Rank for Personalized News Article Retrieval
This paper aims to tackle the very interesting and important problem of user personalized ranking of search results. The focus is on news retrieval and the data from which the ran...
Lorand Dali, Blaz Fortuna, Jan Rupnik
EWCBR
2004
Springer
15 years 3 months ago
Improving Recommendation Ranking by Learning Personal Feature Weights
The ranking of offers is an issue in e-commerce that has received a lot of attention in Case-Based Reasoning research. In the absence of a sales assistant, it is important to provi...
Lorcan Coyle, Padraig Cunningham