146 search results - page 17 / 30 » Learning Metrics Between Tree Structured Data: Application t... |
124
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MM
2004
ACM
15 years 7 months ago
2004
ACM
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
HICSS
1998
IEEE
15 years 6 months ago
1998
IEEE
The National Institute of Standards and Technology (NIST) has developed a form-based handprint recognition system for reading information written on forms. This public domain soft...
134
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MM
2010
ACM
15 years 1 months ago
2010
ACM
This paper presents a supervised manifold learning model for dimensionality reduction in image and video classification tasks. Unlike most manifold learning models that emphasize ...
107
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EUROCAST
2003
Springer
15 years 6 months ago
2003
Springer
Computer vision tasks such as learning, recognition, classification or segmentation applied to spatial data often requires spatial normalization of repeated features and structure...
133
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ICIP
2010
IEEE
14 years 11 months ago
2010
IEEE
Most approaches to learn classifiers for structured objects (e.g., images) use generative models in a classical Bayesian framework. However, state-of-the-art classifiers for vecto...