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» A Training Method with Small Computation for Classification
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CVPR
2005
IEEE
16 years 9 months ago
A Caratheodory-Fejer Approach to Dynamic Appearance Modeling
This paper presents a technique to learn dynamic appearance models from a small number of training frames. Under this framework, dynamic appearance is modelled as an unknown opera...
Hwasup Lim, Octavia I. Camps, Mario Sznaier
ACL
2012
13 years 9 months ago
A Meta Learning Approach to Grammatical Error Correction
We introduce a novel method for grammatical error correction with a number of small corpora. To make the best use of several corpora with different characteristics, we employ a me...
Hongsuck Seo, Jonghoon Lee, Seokhwan Kim, Kyusong ...
ICIP
2002
IEEE
16 years 9 months ago
Boosting face recognition on a large-scale database
Performance of many state-of-the-art face recognition (FR) methods deteriorates rapidly, when large in size databases are considered. In this paper, we propose a novel clustering ...
Juwei Lu, Konstantinos N. Plataniotis
199
Voted
ICPR
2010
IEEE
15 years 11 months ago
Learning an Efficient and Robust Graph Matching Procedure for Specific Object Recognition
We present a fast and robust graph matching approach for 2D specific object recognition in images. From a small number of training images, a model graph of the object to learn is a...
Jerome Revaud, Guillaume Lavoue, Yasuo Ariki, Atil...
179
Voted
ECCV
2010
Springer
15 years 7 months ago
Boosting Chamfer Matching by Learning Chamfer Distance Normalization
We propose a novel technique that significantly improves the performance of oriented chamfer matching on images with cluttered background. Different to other matching methods, whic...
Tianyang Ma, Xingwei Yang, Longin Jan Latecki