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» Learning to segment from a few well-selected training images
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CVPR
2010
IEEE
15 years 7 months ago
Many-to-one Contour Matching for Describing and Discriminating Object Shape
We present an object recognition system that locates an object, identifies its parts, and segments out its contours. A key distinction of our approach is that we use long, salien...
Praveen Srinivasan, Qihui Zhu, Jianbo Shi
CVPR
2011
IEEE
14 years 5 months ago
Kernelized Structural SVM Learning for Supervised Object Segmentation
Object segmentation needs to be driven by top-down knowledge to produce semantically meaningful results. In this paper, we propose a supervised segmentation approach that tightly ...
Luca Bertelli, Tianli Yu, Diem Vu, Salih Gokturk
CVPR
2006
IEEE
16 years 3 months ago
Extracting Subimages of an Unknown Category from a Set of Images
Suppose a set of images contains frequent occurrences of objects from an unknown category. This paper is aimed at simultaneously solving the following related problems: (1) unsupe...
Sinisa Todorovic, Narendra Ahuja
ISBI
2006
IEEE
16 years 2 months ago
Incremental learning for segmentation in medical images
Hand-coded vision systems are problematic in complex medical domains and are hard to change as new information emerges. Knowledge-Engineering and Machine Learning approaches to in...
Avishkar Misra, Arcot Sowmya, Paul Compton
ICPR
2008
IEEE
16 years 2 months ago
Texture classification with minimal training images
The objective of this work is classifying texture from a single image under unknown lighting conditions. The current and successful approach to this task is to treat it as a stati...
Alireza Tavakoli Targhi, Jan-Mark Geusebroek, Andr...