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» Automatic Image Annotation Using Maximum Entropy Model
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NIPS
2007
13 years 6 months ago
Near-Maximum Entropy Models for Binary Neural Representations of Natural Images
Maximum entropy analysis of binary variables provides an elegant way for studying the role of pairwise correlations in neural populations. Unfortunately, these approaches suffer f...
Matthias Bethge, Philipp Berens
MICAI
2010
Springer
13 years 3 months ago
Automatic Image Annotation Using Multiple Grid Segmentation
Abstract. Automatic image annotation refers to the process of automatically labeling an image with a predefined set of keywords. Image annotation is an important step of content-ba...
Gerardo Arellano, Luis Enrique Sucar, Eduardo F. M...
ICMCS
2005
IEEE
175views Multimedia» more  ICMCS 2005»
13 years 11 months ago
XML path based relevance model for automatic image annotation
This is the first paper that proposes automatic image annotation using the semantics of XML. In this paper, we propose XPRM - XML Path based Relevance Model for automatic image a...
Manjeet Rege, Ming Dong, Farshad Fotouhi
CIVR
2005
Springer
205views Image Analysis» more  CIVR 2005»
13 years 11 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...
LREC
2010
185views Education» more  LREC 2010»
13 years 6 months ago
A Resource and Tool for Super-sense Tagging of Italian Texts
A SuperSense Tagger is a tool for the automatic analysis of texts that associates to each noun, verb, adjective and adverb a semantic category within a general taxonomy. The devel...
Giuseppe Attardi, Stefano Dei Rossi, Giulia Di Pie...