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» Shape Priors using Manifold Learning Techniques
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CVIU
2011
14 years 5 months ago
Graph attribute embedding via Riemannian submersion learning
In this paper, we tackle the problem of embedding a set of relational structures into a metric space for purposes of matching and categorisation. To this end, we view the problem ...
Haifeng Zhao, Antonio Robles-Kelly, Jun Zhou, Jian...
CVPR
2005
IEEE
16 years 3 months ago
Modeling Dynamic Scenes with Active Appearance
In this work we propose a model for video scenes that contain temporal variability in shape and appearance. We propose a conditionally linear model akin to a dynamic extension of ...
Gianfranco Doretto
MICCAI
2003
Springer
16 years 2 months ago
Establishing Local Correspondences towards Compact Representations of Anatomical Structures
Computer-aided diagnosis is often based on comparing a structure of interest with prior models. Such a comparison requires automatic techniques in determining prior models from a s...
Xiaolei Huang, Nikos Paragios, Dimitris N. Metaxas
ICML
2005
IEEE
16 years 2 months ago
Learning strategies for story comprehension: a reinforcement learning approach
This paper describes the use of machine learning to improve the performance of natural language question answering systems. We present a model for improving story comprehension th...
Eugene Grois, David C. Wilkins
ECCV
2008
Springer
16 years 3 months ago
Illumination and Person-Insensitive Head Pose Estimation Using Distance Metric Learning
Head pose estimation is an important task for many face analysis applications, such as face recognition systems and human computer interactions. In this paper we aim to address the...
Xianwang Wang, Xinyu Huang, Jizhou Gao, Ruigang Ya...