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Pattern Recognition, Volume 57

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Volume 57, September 2016

Face

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Jian Zhang, Jun Yu, Jane You, Dapeng Tao, Na Li, Jun Cheng:
Data-driven facial animation via semi-supervised local patch alignment. 1-20
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  - journals/pr/AlashkarADB16
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Taleb Alashkar, Boulbaba Ben Amor, Mohamed Daoudi, Stefano Berretti:
A Grassmann framework for 4D facial shape analysis. 21-30
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  - journals/pr/WangLLW16
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Jing-Wein Wang, Ngoc Tuyen Le, Jiann-Shu Lee, Chou-Chen Wang:
Color face image enhancement using adaptive singular value decomposition in fourier domain for face recognition. 31-49

Gesture, pose

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  - journals/pr/ModanwalS16
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Gourav Modanwal, Kishor Sarawadekar:
Towards hand gesture based writing support system for blinds. 50-60
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Xin Kang, Wai-Pan Yau, Russell H. Taylor:
Simultaneous pose estimation and patient-specific model reconstruction from single image using maximum penalized likelihood estimation (MPLE). 61-69

Clustering, classifiers

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Fatemeh Saki, Nasser Kehtarnavaz:
Online frame-based clustering with unknown number of clusters. 70-83
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Manju Bhardwaj, Vasudha Bhatnagar, Kapil Sharma:
Cost-effectiveness of classification ensembles. 84-96

Thinning, shape

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Rabaa Youssef, Sylvie Sevestre-Ghalila, Anne Ricordeau, Amel Benazza:
Self noise and contrast controlled thinning of gray images. 97-114
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Zahraa Yasseen, Anne Verroust-Blondet, Ahmad H. Nasri:
Shape matching by part alignment using extended chordal axis transform. 115-135

Image, texture, imbalanced datasets

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Michal Haindl, Stanislav Mikes:
A competition in unsupervised color image segmentation. 136-151
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Hua Hao, Qilong Wang, Peihua Li, Lei Zhang:
Evaluation of ground distances and features in EMD-based GMM matching for texture classification. 152-163
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José A. Sáez, Bartosz Krawczyk, Michal Wozniak:
Analyzing the oversampling of different classes and types of examples in multi-class imbalanced datasets. 164-178

Dimension reduction, learning

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Sheng Wang, Jianfeng Lu, Xingjian Gu, Haishun Du, Jing-Yu Yang:
Semi-supervised linear discriminant analysis for dimension reduction and classification. 179-189
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Alexandros Iosifidis, Moncef Gabbouj:
Nyström-based approximate kernel subspace learning. 190-197

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