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» A Statistical Learning Approach To Document Image Analysis
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ISBI
2004
IEEE
16 years 4 months ago
Controling The False Positive Detection Rate In Fuzzy Clustering of fMRI Data
Despite its potential advantages for fMRI analysis, fuzzy C-means (FCM) clustering suffers from limitations such as the need for a priori knowledge of the number of clusters, and ...
Hesamoddin Jahanian, Hamid Soltanian-Zadeh, Gholam...
185
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ICPR
2008
IEEE
16 years 4 months ago
V-LGBP: Volume based local Gabor binary patterns for face representation and recognition
In this paper, we propose volume based local Gabor binary patterns (V-LGBP) for face representation and recognition. In our method, the Gabor feature set of each gray image is reg...
Shiguang Shan, Shufu Xie, Wen Gao, Xilin Chen
ISBI
2004
IEEE
16 years 4 months ago
A Template-Propagation Method for Segmentation of Filamentous Structures in Electron Tomograms
We report a method for semi-automated segmentation of extended features such as filamentous structures in electron tomograms. We present an application of this method for the auto...
Sriram Subramaniam, Peijun Zhang, David Germain, T...
ICPR
2008
IEEE
15 years 9 months ago
A Bayesian Local Binary Pattern texture descriptor
In this paper, a Bayesian LBP operator is proposed. This operator is formulated in a novel Filtering, Labeling and Statistic (FLS) framework for texture descriptors. In the framew...
Chu He, Timo Ahonen, Matti Pietikäinen
CVPR
2010
IEEE
15 years 12 months ago
The Role of Features, Algorithms and Data in Visual Recognition
There are many computer vision algorithms developed for visual (scene and object) recognition. Some systems focus on involved learning algorithms, some leverage millions of trainin...
Devi Parikh and C. Lawrence Zitnick