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ICCV
2007
IEEE
16 years 7 days ago
Boosting Invariance and Efficiency in Supervised Learning
In this paper we present a novel boosting algorithm for supervised learning that incorporates invariance to data transformations and has high generalization capabilities. While on...
Andrea Vedaldi, Paolo Favaro, Enrico Grisan
MICCAI
2004
Springer
15 years 11 months ago
Learning Coupled Prior Shape and Appearance Models for Segmentation
We present a novel framework for learning a joint shape and appearance model from a large set of un-labelled training examples in arbitrary positions and orientations. The shape an...
Xiaolei Huang, Zhiguo Li, Dimitris N. Metaxas
CIDM
2009
IEEE
15 years 5 months ago
A new hybrid method for Bayesian network learning With dependency constraints
Abstract— A Bayes net has qualitative and quantitative aspects: The qualitative aspect is its graphical structure that corresponds to correlations among the variables in the Baye...
Oliver Schulte, Gustavo Frigo, Russell Greiner, We...
ICIAR
2009
Springer
15 years 4 months ago
An Example-Based Two-Step Face Hallucination Method through Coefficient Learning
Face hallucination is to reconstruct a high-resolution face image from a low-resolution one based on a set of high- and low-resolution training image pairs. This paper proposes an ...
Xiang Ma, Junping Zhang, Chun Qi
ACCV
2007
Springer
15 years 4 months ago
Learning Gabor Magnitude Features for Palmprint Recognition
Palmprint recognition, as a new branch of biometric technology, has attracted much attention in recent years. Various palmprint representations have been proposed for recognition. ...
Rufeng Chu, Zhen Lei, Yufei Han, Ran He, Stan Z. L...