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» Boosting with Diverse Base Classifiers
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TEC
2008
135views more  TEC 2008»
14 years 9 months ago
Evolving Output Codes for Multiclass Problems
In this paper, we propose an evolutionary approach to the design of output codes for multiclass pattern recognition problems. This approach has the advantage of taking into account...
Nicolás García-Pedrajas, Colin Fyfe
KDD
2009
ACM
156views Data Mining» more  KDD 2009»
15 years 10 months ago
Multi-focal learning and its application to customer service support
In this study, we formalize a multi-focal learning problem, where training data are partitioned into several different focal groups and the prediction model will be learned within...
Yong Ge, Hui Xiong, Wenjun Zhou, Ramendra K. Sahoo...
ICPR
2006
IEEE
15 years 10 months ago
Texture-Constrained Shape Prediction for Mouth Contour Extraction and its State Estimation
In this paper, we present an automatic mouth contour and state estimation system. An efficient mouth contour extraction algorithm is proposed under the framework of Active Shape M...
Zhaorong Li, Haizhou Ai
IROS
2006
IEEE
239views Robotics» more  IROS 2006»
15 years 3 months ago
Development of a Facial Expression Imitation System
— In the last decade, face analysis, e.g. face recognition, face detection, face tracking and facial expression recognition, is a very lively and expanding research field. As com...
Do Hyoung Kim, Sung-Uk Jung, Kwang Ho An, Hui Sung...
GECCO
2006
Springer
180views Optimization» more  GECCO 2006»
15 years 1 months ago
Improving cooperative GP ensemble with clustering and pruning for pattern classification
A boosting algorithm based on cellular genetic programming to build an ensemble of predictors is proposed. The method evolves a population of trees for a fixed number of rounds an...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...