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TCSV
2008
195views more  TCSV 2008»
15 years 4 months ago
Locality Versus Globality: Query-Driven Localized Linear Models for Facial Image Computing
Conventional subspace learning or recent feature extraction methods consider globality as the key criterion to design discriminative algorithms for image classification. We demonst...
Yun Fu, Zhu Li, Junsong Yuan, Ying Wu, Thomas S. H...
ICIP
2009
IEEE
16 years 5 months ago
Using Sparse Regression To Learn Effective Projections For Face Recognition
We explore sparse regression for effective feature selection and classification in face identity and expression recognition. We argue that sparse regression in pixel space is inap...
OZCHI
2006
ACM
15 years 10 months ago
Mobile helper for university students: a design for a mobile learning environment
This paper reports on a design case study for a mobile learning (M-learning) environment that follows a usercentred design approach. This development of the system applied an M-le...
Richard Brown, Hokyoung Ryu, David Parsons
107
Voted
KDD
1994
ACM
140views Data Mining» more  KDD 1994»
15 years 8 months ago
A Comparison of Pruning Methods for Relational Concept Learning
Pre-Pruning and Post-Pruning are two standard methods of dealing with noise in concept learning. Pre-Pruning methods are very efficient, while Post-Pruning methods typically are m...
Johannes Fürnkranz
AI
2006
Springer
15 years 8 months ago
Language Patterns in the Learning of Strategies from Negotiation Texts
The paper shows how to construct language patterns that signal influence strategies and tactical moves corresponding to such strategies. We apply corpus analysis methods to the ext...
Marina Sokolova, Stan Szpakowicz