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» Learning the Relative Importance of Features in Image Data
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CGF
2010
161views more  CGF 2010»
15 years 4 months ago
HyperMoVal: Interactive Visual Validation of Regression Models for Real-Time Simulation
During the development of car engines, regression models that are based on machine learning techniques are increasingly important for tasks which require a prediction of results i...
Harald Piringer, Wolfgang Berger, J. Krasser
ICCV
2005
IEEE
15 years 10 months ago
Appearance Manifold of Facial Expression
This paper investigates the appearance manifold of facial expression: embedding image sequences of facial expression from the high dimensional appearance feature space to a low dim...
Caifeng Shan, Shaogang Gong, Peter W. McOwan
ECCV
2004
Springer
16 years 6 months ago
Modeling and Synthesis of Facial Motion Driven by Speech
We introduce a novel approach to modeling the dynamics of human facial motion induced by the action of speech for the purpose of synthesis. We represent the trajectories of a numbe...
Payam Saisan, Alessandro Bissacco, Alessandro Chiu...
ICB
2009
Springer
167views Biometrics» more  ICB 2009»
15 years 11 months ago
Partial Face Matching between Near Infrared and Visual Images in MBGC Portal Challenge
The latest multi-biometric grand challenge (MBGC 2008) sets up a new experiment in which near infrared (NIR) face videos containing partial faces are used as a probe set and the vi...
Dong Yi, ShengCai Liao, Zhen Lei, Jitao Sang, Stan...
ALT
1998
Springer
15 years 8 months ago
Predictive Learning Models for Concept Drift
Concept drift means that the concept about which data is obtained may shift from time to time, each time after some minimum permanence. Except for this minimum permanence, the con...
John Case, Sanjay Jain, Susanne Kaufmann, Arun Sha...