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Gaussian Processes for Machine Learning, Carl Edward Rasmussen and Chris Williams, the MIT Press, 2006, online version. Statistical Interpolation of Spatial Data: Some Theory for Kriging, Michael L. Statistics for Spatial Data (revised edition), Noel A. Cressie, Wiley, 1993 Spline Models for Observational Data, Grace Wahba, SIAM, 1990 The Bayesian Research Kitchen at The Wordsworth Hotel, Grasmere, Ambleside, Lake District, United Kingdom 05 - 07 September 2008. Papers on this page will be constantly updated and older links will be removed when newer papers are published. [link] A Compositional and Dynamic Model for Face Aging Jinli Suo; Song-Chun Zhu; Shiguang Shan; Xilin Chen [link] Active Testing for Face Detection and Localization Sznitman, R; Jedynak, B [link] Linear Regression for Face Recognition Naseem, I.; Togneri, R.; Bennamoun, M. [link] An Optical Flow-Based Approach to Robust Face Recognition Under Expression Variations Chao-Kuei Hsieh; Shang-Hong Lai; Yung-Chang Chen [link] On-line Learning of Mutually Orthogonal Subspaces for Face Recognition by Image Sets Tae-Kyun Kim; Kittler, J.; Cipolla, R. Hancock [link] Pattern Recognition Discriminability and reliability indexes: Two new measures to enhance multi-image face recognition Weiwen Zou, Pong C. Frangi [link] The facial texture analysis for the automatic portrait drawing Zhuang Fu, Fei Ni, Qixin Cao, Yanzheng Zhao [link] Salient feature and reliable classifier selection for facial expression classification Marios Kyperountas, Anastasios Tefas, Ioannis Pitas [link] Complete neighborhood preserving embedding for face recognition Yong Wang, Yi Wu [link] On the vulnerability of face verification systems to hill-climbing attacks Javier Galbally, Chris Mc Cool, Julian Fierrez, Sebastien Marcel, Javier Ortega-Garcia [link] A data mining approach to face detection Wen-Kwang Tsao, Anthony J. Lee, Ying-Ho Liu, Ting-Wei Chang, Hsiu-Hui Lin [link] Incremental learning of bidirectional principal components for face recognition Chuan-Xian Ren, Dao-Qing Dai [link] Sparsity preserving projections with applications to face recognition Lishan Qiao, Songcan Chen, Xiaoyang Tan [link] Pattern Recognition Letters Feature distribution modelling techniques for 3D face verification Chris Mc Cool, Jordi Sanchez-Riera, Sbastien Marcel [link] Improving face recognition by combination of natural and Gabor faces Christian Tenllado, Jos Ignacio Gmez, Javier Setoain, Daro Mora, Manuel Prieto [link] Face verification with a kernel fusion method Isaac Martn de Diego, ngel Serrano, Cristina Conde, Enrique Cabello [link] Face and iris localization using templates designed by particle swarm optimization Claudio A. IEEE Transactions on Pattern Analysis and Machine Intelligence 3D Face Recognition Using Simulated Annealing and the Surface Interpenetration Measure Queirolo, C. [link] Non-Lambertian Reflectance Modeling and Shape Recovery for Faces Using Tensor Splines Kumar, R; Barmpoutis, A; Banerjee, A; Vemuri, B [link] Age-Invariant Face Recognition Unsang Park; Yiying Tong; Jain, A. [link] Decomposition of Complex Line Drawings with Hidden Lines for 3D Planar-Faced Manifold Object Reconstruction Liu, J; Chen, Y; Tang, X [link] 3D Face Recognition Using Iso-geodesic Stripes Berretti, S; Del Bimbo, A; Pala, P [link] Robust 3D Face Recognition by Local Shape Difference Boosting Wang, Y; Liu, J; Tang, X [link] A Unified Probabilistic Framework for Spontaneous Facial Action Modeling and Understanding Yan Tong; Jixu Chen; Qiang Ji [link] A Dynamic Texture Based Approach to Recognition of Facial Actions and their Temporal Models Koelstra, S; Pantic, M; Patras, I [link] IEEE Transactions on Information Forensics and Security Face Matching and Retrieval Using Soft Biometrics Park, U.; Jain, A. [link] A Hybrid Approach for Generating Secure and Discriminating Face Template Feng, Y. [link] Extracting Multiple Features in the CID Color Space for Face Recognition Liu, Z.; Yang, J.; Liu, C. [link] Regularized Locality Preserving Projections and Its Extensions for Face Recognition Jiwen Lu; Yap-Peng Tan [link] A Component-Based Framework for Generalized Face Alignment Huang, Y.; Liu, Q.; Metaxas, D. [link] Graph-Preserving Sparse Nonnegative Matrix Factorization With Application to Facial Expression Recognition Zhi, R.; Flierl, M.; Ruan, Q.; Kleijn, W. [link] IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications Incremental Embedding and Learning in the Local Discriminant Subspace With Application to Face Recognition Cheng, M.; Fang, B.; Tang, Y. [link] Combining Perceptual Features With Diffusion Distance for Face Recognition Zhou, H.; Sadka, A. [link] International Journal of Computer Vision Estimating Facial Reflectance Properties Using Shape-from-Shading William A. Yuen [link] Face recognition using discriminant locality preserving projections based on maximum margin criterion Gui-Fu Lu, Zhong Lin, Zhong Jin [link] Face recognition using Intrinsicfaces Yong Wang, Yi Wu [link] Context-aware fusion: A case study on fusion of gait and face for human identification in video Xin Geng, Kate Smith-Miles, Liang Wang, Ming Li, Qiang Wu [link] SVM-based feature extraction for face recognition Sang-Ki Kim, Youn Jung Park, Kar-Ann Toh, Sangyoun Lee [link] Fusion of color, local spatial and global frequency information for face recognition Zhiming Liu, Chengjun Liu [link] Incremental template updating for face recognition in home environments Annalisa Franco, Dario Maio, Davide Maltoni [link] Infrared gait recognition based on wavelet transform and support vector machine Zhaojun Xue, Dong Ming, Wei Song, Baikun Wan, Shijiu Jin [link] Super-resolution of human face image using canonical correlation analysis Hua Huang, Huiting He, Xin Fan, Junping Zhang [link] A performance driven methodology for cancelable face templates generation Youngsung Kim, Andrew Beng Jin Teoh, Kar-Ann Toh [link] Emulating biological strategies for uncontrolled face recognition Weihong Deng, Jiani Hu, Jun Guo, Weidong Cai, Dagan Feng [link] Hallucinating face by position-patch Xiang Ma, Junping Zhang, Chun Qi [link] Interesting faces: A graph-based approach for finding people in news Derya Ozkan, Pinar Duygulu [link] Local contrast enhancement and adaptive feature extraction for illumination-invariant face recognition Wen-Chung Kao, Ming-Chai Hsu, Yueh-Yiing Yang [link] Robust, accurate and efficient face recognition from a single training image: A uniform pursuit approach Weihong Deng, Jiani Hu, Jun Guo, Weidong Cai, Dagan Feng [link] Real-time 2D 3D facial action and expression recognition Filareti Tsalakanidou, Sotiris Malassiotis [link] A novel Bayesian logistic discriminant model: An application to face recognition R. Boufama, Djemel Ziou, Bernard Colin [link] Feature extraction using discrete cosine transform and discrimination power analysis with a face recognition technology Saeed Dabbaghchian, Masoumeh P. Frossard [link] Projective active shape models for pose-variant image analysis of quasi-planar objects: Application to facial analysis Federico M. LDA works when the measurements made on independent variables for each observation are continuous quantities.for papers published in the last six months or so in high impact factor journals (these journals can be found under "Journals & Books" page). [link] Features versus Context: An Approach for Precise and Detailed Detection and Delineation of Faces and Facial Features Ding, L.; Martinez, A. [link] Face Verification Across Age Progression Using Discriminative Methods Haibin Ling; Soatto, S.; Ramanathan, N.; Jacobs, D. [link] Plastic Surgery: A New Dimension to Face Recognition Singh, R; Vatsa, M; Bhatt, H; Baradwaj, S; Noore, A; Nooreyezdan, S [link] Regional Registration for Expression Resistant 3D Face Recognition Alyuz, N; Gokberk, B; Akarun, L [link] Face Recognition in Global Harmonic Subspaces Jiang, M.; Crookes, D; Luo, N [link] IEEE Transactions on Image Processing Misalignment-Robust Face Recognition Shuicheng Yan; Huan Wang; Jianzhuang Liu; Xiaoou Tang; Huang, T. [link] Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions Xiaoyang Tan; Triggs, B. [link] 3D Face Reconstruction from a Single Image Using a Single Reference Face Shape Kemelmacher-Shlizerman, I; Basri, R [link] Cost-Sensitive Face Recognition Zhang, Y; Zhou, Z [link] Age Synthesis and Estimation via Faces: A Survey Fu, Y.; Guo, G.; Huang, T. Li, Jianglong Chang and Zengfu Wang [link] Computer Vision and Image Understanding 3D face reconstructions from photometric stereo using near infrared and visible light Mark F. Zapata [link] Video-based face model fitting using Adaptive Active Appearance Model Xiaoming Liu [link] A new ranking method for principal components analysis and its application to face image analysis Carlos Eduardo Thomaz, Gilson Antonio Giraldi [link] Facial gender classification using shape-from-shading Jing Wu, William A. [link] Face Recognition by Exploring Information Jointly in Space, Scale and Orientation Lei, Z.; Liao, S.; Pietikainen, M.; Li, S. Ghaemmaghami, Ali Aghagolzadeh [link] Color space normalization: Enhancing the discriminating power of color spaces for face recognition Jian Yang, Chengjun Liu, Lei Zhang [link] 3D object classification using salient point patterns with application to craniofacial research Indriyati Atmosukarto, Katarzyna Wilamowska, Carrie Heike, Linda G.

If you have not received your notification of the results by email, please contact us at [email protected] HOW MUCH TIME AND INVESTMENT SHOULD BE AND IS JUSTIFIED FOR MANAGING A MULTI-BILLION DOLLAR RESOURCE?Although Gaussian processes have a long history in the field of statistics, they seem to have been employed extensively only in niche areas. With the advent of kernel machines in the machine learning community, models based on Gaussian processes have become commonplace for problems of regression (kriging) and classification as well as a host of more specialized applications. The resulting combination may be used as a linear classifier, or, more commonly, for dimensionality reduction before later classification.LDA is closely related to analysis of variance (ANOVA) and regression analysis, which also attempt to express one dependent variable as a linear combination of other features or measurements.

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A tutorial entitled Advances in Gaussian Processes on Dec. The Gaussian Processes in Practice workshop at Bletchley Park, U. The Open Problems in Gaussian Processes for Machine Learning workshop at nips*05 in Whistler, December 10th, 2005. The ai-geostats web site for spatial statistics and geostatistics.

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