Regularization theory and neural networks architectures
Neural Computation
The nature of statistical learning theory
The nature of statistical learning theory
Linear Object Classes and Image Synthesis From a Single Example Image
IEEE Transactions on Pattern Analysis and Machine Intelligence
A morphable model for the synthesis of 3D faces
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
A bootstrapping algorithm for learning linear models of object classes
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Recognition and Structure from one 2D Model View: Observations on Prototypes, Object Classes and Symmetries
A Novel Approach to Graphics
Example Based Image Analysis and Synthesis
Example Based Image Analysis and Synthesis
A Unified Framework for Regularization Networks and Support Vector Machines
A Unified Framework for Regularization Networks and Support Vector Machines
Multidimensional Morphable Models
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
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This special issue is dedicated to some of the recent work at the Center for Biological and Computational Learning at MIT in applying machine learning techniques to computer vision.