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» Automatic Image Annotation Using Maximum Entropy Model
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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
ICADL
2003
Springer
147views Education» more  ICADL 2003»
14 years 21 days ago
Effective Image Annotation for Search Using Multi-level Semantics
There is an increasing need of development of automatic tools to annotate images for effective image searching in digital libraries. In this paper, we present a novel probabilistic...
Pu-Jen Cheng, Lee-Feng Chien
COLING
2010
13 years 2 months ago
Discriminative Induction of Sub-Tree Alignment using Limited Labeled Data
We employ Maximum Entropy model to conduct sub-tree alignment between bilingual phrasal structure trees. Various lexical and structural knowledge is explored to measure the syntac...
Jun Sun, Min Zhang, Chew Lim Tan
MCAM
2007
Springer
129views Multimedia» more  MCAM 2007»
14 years 1 months ago
Learning Concepts by Modeling Relationships
Supporting multimedia search has emerged as an important research topic. There are three paradigms on the research spectrum that ranges from the least automatic to the most automat...
Yong Rui, Guo-Jun Qi
CLEF
2006
Springer
13 years 11 months ago
Baseline Results for the ImageCLEF 2006 Medical Automatic Annotation Task
The ImageCLEF 2006 medical automatic annotation task encompasses 11,000 images from 116 categories, compared to 57 categories for 10,000 images of the similar task in 2005. As a b...
Mark Oliver Güld, Christian Thies, Benedikt F...