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» Using Maximum Entropy for Automatic Image Annotation
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LREC
2010
185views Education» more  LREC 2010»
13 years 8 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...
CIVR
2008
Springer
222views Image Analysis» more  CIVR 2008»
13 years 8 months ago
Automatic image annotation via local multi-label classification
As the consequence of semantic gap, visual similarity does not guarantee semantic similarity, which in general is conflicting with the inherent assumption of many generativebased ...
Mei Wang, Xiangdong Zhou, Tat-Seng Chua
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
NIPS
2007
13 years 8 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
ECCV
2002
Springer
14 years 9 months ago
Resolution Selection Using Generalized Entropies of Multiresolution Histograms
The performances of many image analysis tasks depend on the image resolution at which they are applied. Traditionally, resolution selection methods rely on spatial derivatives of i...
Efstathios Hadjidemetriou, Michael D. Grossberg, S...