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CVPR
2008
IEEE
14 years 12 months ago
Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation and recognition
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
Yuanhao Chen, Long Zhu, Alan L. Yuille, HongJiang ...

Source Code
846views
14 years 4 months ago
Supervised Color Image Segmentation in a Markovian Framework
This is the sample implementation of a Markov random field based color image segmentation algorithm described in the following paper: Zoltan Kato, Ting Chuen Pong, and John Chu...
Mihaly Gara, Zoltan Kato
FLAIRS
2007
14 years 5 days ago
Combining Machine Learning with Linguistic Heuristics for Chinese Word Segmentation
This paper describes a hybrid model that combines machine learning with linguistic heuristics for integrating unknown word identification with Chinese word segmentation. The model...
Xiaofei Lu
ACL
2004
13 years 11 months ago
Adaptive Chinese Word Segmentation
This paper presents a Chinese word segmentation system which can adapt to different domains and standards. We first present a statistical framework where domain-specific words are...
Jianfeng Gao, Andi Wu, Cheng-Ning Huang, Hongqiao ...
CVPR
2003
IEEE
14 years 12 months ago
Learning Affinity Functions for Image Segmentation: Combining Patch-based and Gradient-based Approaches
This paper studies the problem of combining region and boundary cues for natural image segmentation. We employ a large database of manually segmented images in order to learn an o...
Charless Fowlkes, David R. Martin, Jitendra Malik