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» Location Recognition Using Prioritized Feature Matching
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ACCV
2007
Springer
15 years 7 months ago
Object Detection Combining Recognition and Segmentation
Abstract. We develop an object detection method combining top-down recognition with bottom-up image segmentation. There are two main steps in this method: a hypothesis generation s...
Liming Wang, Jianbo Shi, Gang Song, I-fan Shen
IJCV
2007
196views more  IJCV 2007»
15 years 1 months ago
Weakly Supervised Scale-Invariant Learning of Models for Visual Recognition
We investigate a method for learning object categories in a weakly supervised manner. Given a set of images known to contain the target category from a similar viewpoint, learning...
Robert Fergus, Pietro Perona, Andrew Zisserman
CVPR
2009
IEEE
16 years 7 months ago
Learning Mixed Templates for Object Recognition
This article proposes a method for learning object templates composed of local sketches and local textures, and investigates the relative importance of the sketches and textures ...
Haifeng Gong, Song Chun Zhu, Ying Nian Wu, Zhangzh...
IEEEIAS
2007
IEEE
15 years 7 months ago
Generative Models for Fingerprint Individuality using Ridge Types
Generative models of pattern individuality attempt to represent the distribution of observed quantitative features, e.g., by learning parameters from a database, and then use such...
Gang Fang, Sargur N. Srihari, Harish Srinivasan
ICPR
2008
IEEE
15 years 7 months ago
Generative models for fingerprint individuality using ridge models
Generative models of pattern individuality attempt to learn the distribution of observed quantitative features to determine the probability of two random patterns being the same. ...
Chang Su, Sargur N. Srihari