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» Using Maximum Entropy for Automatic Image Annotation
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KDD
2004
ACM
141views Data Mining» more  KDD 2004»
14 years 8 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...
CIVR
2005
Springer
205views Image Analysis» more  CIVR 2005»
14 years 1 months ago
Automatic Image Semantic Annotation Based on Image-Keyword Document Model
Abstract. This paper presents a novel method of automatic image semantic annotation. Our approach is based on the Image-Keyword Document Model (IKDM) with image features discretiza...
Xiangdong Zhou, Lian Chen, Jianye Ye, Qi Zhang, Ba...
DAGM
2006
Springer
13 years 11 months ago
Feature Selection for Automatic Image Annotation
Automatic image annotation empowers the user to search an image database using keywords, which is often a more practical option than a query-by-example approach. In this work, we p...
Lokesh Setia, Hans Burkhardt
ITCC
2005
IEEE
14 years 1 months ago
A Web Recommendation System Based on Maximum Entropy
We propose a Web recommendation system based on a maximum entropy model. Under the maximum entropy principle, we can combine multiple levels of knowledge about users’ navigation...
Xin Jin, Bamshad Mobasher, Yanzan Zhou
CSL
2006
Springer
13 years 7 months ago
Adaptation of maximum entropy capitalizer: Little data can help a lot
A novel technique for maximum "a posteriori" (MAP) adaptation of maximum entropy (MaxEnt) and maximum entropy Markov models (MEMM) is presented. The technique is applied...
Ciprian Chelba, Alex Acero