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» Learning a Classification Model for Segmentation
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ICPR
2004
IEEE
14 years 10 months ago
Semantic Object Segmentation by a Spatio-Temporal MRF Model
In this paper, a region-based spatio-temporal Markov random field (STMRF) model is proposed to segment moving objects semantically. The STMRF model combines segmentation results o...
Wei Zeng, Wen Gao
COLT
2004
Springer
14 years 27 days ago
Model Selection by Bootstrap Penalization for Classification
We consider the binary classification problem. Given an i.i.d. sample drawn from the distribution of an X
Magalie Fromont
ECCV
2004
Springer
14 years 11 months ago
Extraction of Semantic Dynamic Content from Videos with Probabilistic Motion Models
Abstract. The exploitation of video data requires to extract information at a rather semantic level, and then, methods able to infer "concepts" from low-level video featu...
Gwenaëlle Piriou, Jian-Feng Yao, Patrick Bout...
CIARP
2009
Springer
14 years 1 months ago
Pigmented Skin Lesions Classification Using Dermatoscopic Images
In this paper we propose a machine learning approach to classify melanocytic lesions in malignant and benign from dermatoscopic images. The image database is composed of 433 benign...
Germán Capdehourat, Andrés Corez, An...
ICCV
2009
IEEE
15 years 2 months ago
Context by Region Ancestry
In this paper, we introduce a new approach for modeling visual context. For this purpose, we consider the leaves of a hierarchical segmentation tree as elementary units. Each le...
Joseph J. Lim, Pablo Arbelaez, Chunhui Gu, and Jit...