Computer Vision

• Unary potentials Á  Encode local information about the given pixel/patch  How likely is a pixel/patch to belong to a certain class (e.g. foreground/background)? • Pairwise potentials à  Encode neighborhood information  How different is a pixel/patch’s label from that of its neighbor? (e.g. based on intensity/color/texture difference, edges) 4 B. Leibe Pairwise potentials Unary potentials Á(xi; yi) Ã(xi; xj)

[1]  Zhenyuan Wang,et al.  A new genetic algorithm for nonlinear multiregressions based on generalized Choquet integrals , 2003, The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03..

[2]  Tom Diethe,et al.  Multiview Fisher Discriminant Analysis , 2008 .

[3]  Kwong-Sak Leung,et al.  Classification by nonlinear integral projections , 2003, IEEE Trans. Fuzzy Syst..

[4]  Yan Chen,et al.  Simultaneous and orthogonal decomposition of data using Multimodal Discriminant Analysis , 2009, 2009 IEEE 12th International Conference on Computer Vision.

[5]  Jean Ponce,et al.  Computer Vision: A Modern Approach , 2002 .

[6]  Ke Lu,et al.  Low-Rank Discriminant Embedding for Multiview Learning , 2017, IEEE Transactions on Cybernetics.

[7]  Tom Diethe,et al.  Constructing Nonlinear Discriminants from Multiple Data Views , 2010, ECML/PKDD.

[8]  Yun Fu,et al.  Robust Subspace Discovery through Supervised Low-Rank Constraints , 2014, SDM.

[9]  Yun Fu,et al.  Low-Rank Common Subspace for Multi-view Learning , 2014, 2014 IEEE International Conference on Data Mining.

[10]  Xinge You,et al.  Kernel Learning for Dynamic Texture Synthesis , 2016, IEEE Transactions on Image Processing.

[11]  Dahua Lin,et al.  Inter-modality Face Recognition , 2006, ECCV.

[12]  Ulrich Eckhardt,et al.  Linear convergence of generalized Weiszfeld's method , 1980, Computing.

[13]  J. Shawe-Taylor,et al.  Multi-View Canonical Correlation Analysis , 2010 .

[14]  Kwong-Sak Leung,et al.  Discover dependency pattern among attributes by using a new type of nonlinear multiregression , 2001, Int. J. Intell. Syst..

[15]  G LoweDavid,et al.  Distinctive Image Features from Scale-Invariant Keypoints , 2004 .

[16]  Haohong Wang,et al.  Cross-layer optimization for video summary transmission over wireless networks , 2007, IEEE Journal on Selected Areas in Communications.

[17]  Allan Aasbjerg Nielsen,et al.  Multiset canonical correlations analysis and multispectral, truly multitemporal remote sensing data , 2002, IEEE Trans. Image Process..

[18]  Nishchal K. Verma,et al.  Additive and Nonadditive Fuzzy Hidden Markov Models , 2010, IEEE Transactions on Fuzzy Systems.

[19]  Stan Z. Li,et al.  The HFB Face Database for Heterogeneous Face Biometrics research , 2009, 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

[20]  Zhihan Lv,et al.  Stereoscopic image quality assessment method based on binocular combination saliency model , 2016, Signal Process..

[21]  Huchuan Lu,et al.  Saliency Detection with Multi-Scale Superpixels , 2014, IEEE Signal Processing Letters.

[22]  Xiaogang Wang,et al.  Locally Aligned Feature Transforms across Views , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

[23]  Ning Chen,et al.  Predictive Subspace Learning for Multi-view Data: a Large Margin Approach , 2010, NIPS.

[24]  Stefanos Zafeiriou,et al.  Subspace Learning from Image Gradient Orientations , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[25]  Qingshan Liu,et al.  Robust Visual Tracking via Convolutional Networks Without Training , 2015, IEEE Transactions on Image Processing.

[26]  Rama Chellappa,et al.  Domain adaptation for object recognition: An unsupervised approach , 2011, 2011 International Conference on Computer Vision.

[27]  Lihi Zelnik-Manor,et al.  What Makes a Patch Distinct? , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

[28]  Wei Jia,et al.  Locality preserving discriminant projections for face and palmprint recognition , 2010, Neurocomputing.

[29]  Xuelong Li,et al.  Discriminative Transfer Subspace Learning via Low-Rank and Sparse Representation , 2016, IEEE Transactions on Image Processing.

[30]  Roman Rosipal,et al.  Overview and Recent Advances in Partial Least Squares , 2005, SLSFS.

[31]  Wei Jia,et al.  Discriminant sparse neighborhood preserving embedding for face recognition , 2012, Pattern Recognit..

[32]  Yee Leung,et al.  On Generalized Fuzzy Belief Functions in Infinite Spaces , 2009, IEEE Transactions on Fuzzy Systems.

[33]  Min Xiao,et al.  Feature Space Independent Semi-Supervised Domain Adaptation via Kernel Matching , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[34]  Huchuan Lu,et al.  Bayesian Saliency via Low and mid Level Cues , 2022 .

[35]  Wei Wang,et al.  Continuum regression for cross-modal multimedia retrieval , 2012, 2012 19th IEEE International Conference on Image Processing.

[36]  Kwong-Sak Leung,et al.  Applying fuzzy measures and nonlinear integrals in data mining , 2005, Fuzzy Sets Syst..

[37]  Dacheng Tao,et al.  Multi-View Intact Space Learning , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[38]  H. Hotelling.  Relations Between Two Sets of Variates , 1936 .

[39]  B. Ripley,et al.  Robust Statistics , 2018, Encyclopedia of Mathematical Geosciences.

[40]  Shiguang Shan,et al.  Multi-View Discriminant Analysis , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[41]  D. Jacobs,et al.  Bypassing synthesis: PLS for face recognition with pose, low-resolution and sketch , 2011, CVPR 2011.

[42]  Tao Deng,et al.  Where Does the Driver Look? Top-Down-Based Saliency Detection in a Traffic Driving Environment , 2016, IEEE Transactions on Intelligent Transportation Systems.

[43]  Song Ci,et al.  A theoretical framework for interaction measure and sensitivity analysis in cross-layer design , 2010, TOMC.

[44]  Wei Wang,et al.  Learning Coupled Feature Spaces for Cross-Modal Matching , 2013, 2013 IEEE International Conference on Computer Vision.