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» Machine-Learning-Based Image Categorization
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DICTA
2008
13 years 11 months ago
Automatic Categorization of Image Regions Using Dominant Color Based Vector Quantization
—This paper proposes a dominant color based vector quantization algorithm that automatically categorizes image regions. In contrast to the conventional vector quantization algori...
Md. Monirul Islam, Dengsheng Zhang, Guojun Lu
ICPR
2002
IEEE
14 years 11 months ago
Unsupervised Robust Clustering for Image Database Categorization
Content-based image retrieval can be dramatically improved by providing a good initial database overview to the user. To address this issue, we present in this paper the Adaptive ...
Bertrand Le Saux, Nozha Boujemaa
SIGIR
2010
ACM
14 years 1 months ago
Spatial relationships in visual graph modeling for image categorization
In this paper, a language model adapted to graph-based representation of image content is proposed and assessed. The full indexing and retrieval processes are evaluated on two diï...
Trong-Ton Pham, Philippe Mulhem, Loïc Maisonn...
CVPR
2007
IEEE
14 years 11 months ago
Concurrent Multiple Instance Learning for Image Categorization
We propose a new multiple instance learning (MIL) algorithm to learn image categories. Unlike existing MIL algorithms, in which the individual instances in a bag are assumed to be...
Guo-Jun Qi, Xian-Sheng Hua, Yong Rui, Tao Mei, Jin...
ICIG
2009
IEEE
14 years 4 months ago
Discriminative Maximum Margin Image Object Categorization with Exact Inference
Categorizing multiple objects in images is essentially a structured prediction problem: the label of an object is in general dependent on the labels of other objects in the image....
Qinfeng Shi, Luping Zhou, Li Cheng, Dale Schuurman...