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» A Comparison of Texture Features Based on SVM and SOM
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CIVR
2005
Springer
147views Image Analysis» more  CIVR 2005»
14 years 1 months ago
A Comparison of Score, Rank and Probability-Based Fusion Methods for Video Shot Retrieval
It is now accepted that the most e ective video shot retrieval is based on indexing and retrieving clips using multiple, parallel modalities such as text-matching, image-matching a...
Kieran McDonald, Alan F. Smeaton
ECCV
2000
Springer
14 years 9 months ago
Learning Similarity for Texture Image Retrieval
A novel algorithm is proposed to learn pattern similarities for texture image retrieval. Similar patterns in di erent texture classes are grouped into a cluster in the feature spac...
Guodong Guo, Stan Z. Li, Kap Luk Chan
ISBI
2011
IEEE
12 years 11 months ago
Network cycle features: Application to computer-aided Gleason grading of prostate cancer histopathological images
Features extracted from cell networks have become popular tools in histological image analysis. However, existing features do not take sufficient advantage of the cycle structure...
Parmeshwar Khurd, Leo Grady, Ali Kamen, Summer Gib...
ICIAR
2004
Springer
14 years 28 days ago
Inspecting Colour Tonality on Textured Surfaces
We present a multidimensional histogram method to inspect tonality on colour textured surfaces, e.g. ceramic tiles. Comparison in the noise dominated chromatic channels is error pr...
Xianghua Xie, Majid Mirmehdi, Barry T. Thomas
EMNLP
2008
13 years 9 months ago
Adding Redundant Features for CRFs-based Sentence Sentiment Classification
In this paper, we present a novel method based on CRFs in response to the two special characteristics of "contextual dependency" and "label redundancy" in sent...
Jun Zhao, Kang Liu, Gen Wang