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» Object Recognition Using Segmentation for Feature Detection
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CVPR
2007
IEEE
16 years 4 months ago
Adaptive Patch Features for Object Class Recognition with Learned Hierarchical Models
We present a hierarchical generative model for object recognition that is constructed by weakly-supervised learning. A key component is a novel, adaptive patch feature whose width...
Fabien Scalzo, Justus H. Piater
ICIP
2009
IEEE
16 years 3 months ago
Segmentation Using The Edge Strength Function As A Shape Prior Within A Local Deformation Model
This paper presents a new image segmentation framework which employs a shape prior in the form of an edge strength function to introduce a higher-level influence on the segmentati...
ICPR
2010
IEEE
15 years 3 months ago
Flooding and MRF-Based Algorithms for Interactive Segmentation
We propose a method for interactive colour image segmentation. The goal is to detect an object from the background, when some markers on object(s) and the background are given. As...
Ilias Grinias, Nikos Komodakis, G. Tziritas
ICDAR
2011
IEEE
14 years 1 months ago
Offline Writer Identification Using K-Adjacent Segments
— This paper presents a method for performing offline writer identification by using K-adjacent segment (KAS) features in a bag-of-features framework to model a user’s handwrit...
Rajiv Jain, David S. Doermann
NLPRS
2001
Springer
15 years 6 months ago
Automatic Segmentation of Words using Syllable Bigram Statistics
We present a syllable bigram model for segmenting a Korean sentence into words and correcting word-spacing errors in the spelling checker. We evaluated the system’s performance ...
Seung-Shik Kang, Chong-Woo Woo