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» Image Retrieval and Annotation Using Maximum Entropy
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CVPR
2007
IEEE
14 years 9 months ago
Probabilistic Reverse Annotation for Large Scale Image Retrieval
Automatic annotation is an elegant alternative to explicit recognition in images. In annotation, the image is matched with keyword models, and the most relevant keywords are assig...
K. Pramod Sankar, C. V. Jawahar
ADMA
2006
Springer
167views Data Mining» more  ADMA 2006»
14 years 1 months ago
A Correlation Approach for Automatic Image Annotation
The automatic annotation of images presents a particularly complex problem for machine learning researchers. In this work we experiment with semantic models and multi-class learnin...
David R. Hardoon, Craig Saunders, Sándor Sz...
KDD
2004
ACM
141views Data Mining» more  KDD 2004»
14 years 7 months ago
A Maximum Entropy Approach to Biomedical Named Entity Recognition
Machine learning approaches are frequently used to solve name entity (NE) recognition (NER). In this paper we propose a hybrid method that uses maximum entropy (ME) as the underly...
Yi-Feng Lin, Tzong-Han Tsai, Wen-Chi Chou, Kuen-Pi...
ICPR
2008
IEEE
14 years 1 months ago
Image annotation refinement using semantic similarity correlation
Automatic image annotation is a promising way to achieve more effective image management and retrieval by using keywords. However, system performances of the existing state-of-the...
Songhao Zhu, Yuncai Liu
SAC
2005
ACM
14 years 1 months ago
Retrieving lightly annotated images using image similarities
Users’ search needs are often represented by words and images are retrieved according to such textual queries. Annotation words assigned to the stored images are most useful to ...
Masashi Inoue, Naonori Ueda