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ECCV
2004
Springer
15 years 4 months ago
Statistical Learning of Evaluation Function for ASM/AAM Image Alignment
Alignment between the input and target objects has great impact on the performance of image analysis and recognition system, such as those for medical image and face recognition. A...
Xiangsheng Huang, Stan Z. Li, Yangsheng Wang
KDD
2009
ACM
227views Data Mining» more  KDD 2009»
15 years 11 months ago
Efficiently learning the accuracy of labeling sources for selective sampling
Many scalable data mining tasks rely on active learning to provide the most useful accurately labeled instances. However, what if there are multiple labeling sources (`oracles...
Pinar Donmez, Jaime G. Carbonell, Jeff Schneider
103
Voted
IJCAI
2007
15 years 10 days ago
Detection of Cognitive States from fMRI Data Using Machine Learning Techniques
Over the past decade functional Magnetic Resonance Imaging (fMRI) has emerged as a powerful technique to locate activity of human brain while engaged in a particular task or cogni...
Vishwajeet Singh, Krishna P. Miyapuram, Raju S. Ba...
83
Voted
JCNS
2000
78views more  JCNS 2000»
14 years 10 months ago
Computational Consequences of Temporally Asymmetric Learning Rules: II. Sensory Image Cancellation
Abstract. The electrosensory lateral line lobe (ELL) of mormyridelectric sh is a cerebellum-likestructure that receives primarya erent input from electroreceptors in the skin. Purk...
Patrick D. Roberts, Curtis C. Bell
71
Voted
ECTEL
2009
Springer
15 years 5 months ago
A New Framework for Dynamic Adaptations and Actions
Adaptive course generation is more flexible if it includes mechanisms deciding just-in-time which exercises, which external resources, and which tools to include for an individual...
Carsten Ullrich, Tianxiang Lu, Erica Melis