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» Robustness of Classifiers to Changing Environments
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KDD
2006
ACM
180views Data Mining» more  KDD 2006»
14 years 10 months ago
Learning the unified kernel machines for classification
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
Steven C. H. Hoi, Michael R. Lyu, Edward Y. Chang
ISBI
2011
IEEE
13 years 1 months ago
Group sparsity based classification for cervigram segmentation
This paper presents an algorithm to classify pixels in uterine cervix images into two classes, namely normal and abnormal tissues, and simultaneously select relevant features, usi...
Yang Yu, Junzhou Huang, Shaoting Zhang, Christophe...
CAISE
2004
Springer
14 years 3 months ago
Network-based Business Process Management: a Discussion on Embedding Business Logic in Communications Networks
Advanced Business Process Management (BPM) tools enable the decomposition of previously integrated and often ill-defined processes into reusable process modules. These process modu...
Louis-François Pau, Peter H. M. Vervest
FSKD
2007
Springer
193views Fuzzy Logic» more  FSKD 2007»
14 years 4 months ago
Panoramic Background Model under Free Moving Camera
segmentation of moving regions in outdoor environment under a moving camera is a fundamental step in many vision systems including automated visual surveillance, human-machine int...
Naveed I. Rao, Huijun Di, Guangyou Xu
IROS
2006
IEEE
144views Robotics» more  IROS 2006»
14 years 4 months ago
Finding Resonance: Adaptive Frequency Oscillators for Dynamic Legged Locomotion
— There is much to gain from providing walking machines with passive dynamics, e.g. by including compliant elements in the structure. These elements can offer interesting propert...
Jonas Buchli, Fumiya Iida, Auke Jan Ijspeert