Relevant bibliographies by topics / Face Recognition Across Pose

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Face Recognition Across Pose'

Author: Grafiati
Published: 6 September 2023

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Journal articles on the topic "Face Recognition Across Pose"

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Zhang, Xiaozheng, and Yongsheng Gao. "Face recognition across pose: A review." Pattern Recognition 42, no. 11 (2009): 2876–96. http://dx.doi.org/10.1016/j.patcog.2009.04.017.

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Cui, Jinrong. "Bidirectional representation for face recognition across pose." Neural Computing and Applications 23, no. 5 (2012): 1437–42. http://dx.doi.org/10.1007/s00521-012-1093-0.

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Wang, Jinghua, Jane You, Qin Li, and Yong Xu. "Orthogonal discriminant vector for face recognition across pose." Pattern Recognition 45, no. 12 (2012): 4069–79. http://dx.doi.org/10.1016/j.patcog.2012.04.012.

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Shahdi, Seyed Omid, and S. A. R. Abu-Bakar. "Neural Network-Based Approach for Face Recognition Across Varying Pose." International Journal of Pattern Recognition and Artificial Intelligence 29, no. 08 (2015): 1556015. http://dx.doi.org/10.1142/s0218001415560157.

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At present, frontal or even near frontal face recognition problem is no longer considered as a challenge. Recently, the shift has been to improve the recognition rate for the nonfrontal face. In this work, a neural network paradigm based on the radial basis function approach is proposed to tackle the challenge of recognizing faces in different poses. Exploiting the symmetrical properties of human face, our work takes the advantage of the existence of even half of the face. The strategy is to maximize the linearity relationship based on the local information of the face rather than on the globa
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Zhang, Zhenduo, Yongru Chen, Wenming Yang, Guijin Wang, and Qingmin Liao. "Pose-Invariant Face Recognition via Adaptive Angular Distillation." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 3 (2022): 3390–98. http://dx.doi.org/10.1609/aaai.v36i3.20249.

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Pose-invariant face recognition is a practically useful but challenging task. This paper introduces a novel method to learn pose-invariant feature representation without normalizing profile faces to frontal ones or learning disentangled features. We first design a novel strategy to learn pose-invariant feature embeddings by distilling the angular knowledge of frontal faces extracted by teacher network to student network, which enables the handling of faces with large pose variations. In this way, the features of faces across variant poses can cluster compactly for the same person to create a p
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SHAH, Jamal Hussain, Muhammad SHARIF, Mudassar RAZA, and Aisha AZEEM. "Face recognition across pose variation and the 3S problem." TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES 22 (2014): 1423–36. http://dx.doi.org/10.3906/elk-1108-70.

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Li, Shaoxin, Xin Liu, Xiujuan Chai, Haihong Zhang, Shihong Lao, and Shiguang Shan. "Maximal Likelihood Correspondence Estimation for Face Recognition Across Pose." IEEE Transactions on Image Processing 23, no. 10 (2014): 4587–600. http://dx.doi.org/10.1109/tip.2014.2351265.

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Tai, Ying, Jian Yang, Lei Luo, and Jianjun Qian. "Kernel orthogonal Procrustes regression for face recognition across pose." Neurocomputing 239 (May 2017): 122–29. http://dx.doi.org/10.1016/j.neucom.2017.02.010.

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Saquib Sarfraz, M., and Olaf Hellwich. "Probabilistic learning for fully automatic face recognition across pose." Image and Vision Computing 28, no. 5 (2010): 744–53. http://dx.doi.org/10.1016/j.imavis.2009.07.008.

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Gross, Cornelia, and Gudrun Schwarzer. "Face recognition across varying poses in 7- and 9-month-old infants: The role of facial expression." International Journal of Behavioral Development 34, no. 5 (2010): 417–26. http://dx.doi.org/10.1177/0165025409350364.

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Three studies were conducted to determine whether 7- and 9-month-old infants generalize face identity to a novel pose of the same face when only internal face sections with and without an emotional expression were presented. In Study 1, 7- and 9-month-old infants were habituated to a full frontal or three-quarter pose of a face with neutral facial expression. In Study 2, 7-month-olds were habituated to a face with a positive or negative expression. In the novelty preference test, immediately following habituation, infants were shown a pair of faces: the habituation face in a novel pose and a n
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Dissertations / Theses on the topic "Face Recognition Across Pose"

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Graham, Daniel B. "Pose-varying face recognition." Thesis, University of Manchester, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.488288.

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Abi, Antoun Ramzi. "Pose-Tolerant Face Recognition." Research Showcase @ CMU, 2013. http://repository.cmu.edu/dissertations/244.

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Automatic face recognition performance has been steadily improving over years of active research, however it remains significantly affected by a number of external factors such as illumination, pose, expression, occlusion and resolution that can severely alter the appearance of a face and negatively impact recognition scores. The focus of this thesis is the pose problem which remains largely overlooked in most real-world applications. Specifically, we focus on one-to-one matching scenarios where a query face image of a random pose is matched against a set of “mugshot-style” near-frontal galler
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Lincoln, Michael C. "Pose-independent face recognition." Thesis, University of Essex, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.250063.

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Godzich, Elliot J. "Automated Pose Correction for Face Recognition." Scholarship @ Claremont, 2012. http://scholarship.claremont.edu/cmc_theses/376.

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This paper describes my participation in a MITRE Corporation sponsored computer science clinic project at Harvey Mudd College as my senior project. The goal of the project was to implement a landmark-based pose correction system as a component in a larger, existing face recognition system. The main contribution I made to the project was the implementation of the Active Shape Models (ASM) algorithm; the inner workings of ASM are explained as well as how the pose correction system makes use of it. Included is the most recent draft (as of this writing) of the final report that my teammates and I
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Zhang, Xiaozheng. "Pose-invariant Face Recognition through 3D Reconstructions." Thesis, Griffith University, 2008. http://hdl.handle.net/10072/366373.

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Pose invariance is a key ability for face recognition to achieve its advantages of being non-intrusive over other biometric techniques requiring cooperative subjects such as fingerprint recognition and iris recognition. Due to the complex 3D structures and various surface reflectivities of human faces, however, pose variations bring serious challenges to current face recognition systems. The image variations of human faces under 3D transformations are larger than that existing face recognition can tolerate. This research attempts to achieve pose-invariant face recognition through 3D reconstruc
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Wibowo, Moh Edi. "Towards pose-robust face recognition on video." Thesis, Queensland University of Technology, 2014. https://eprints.qut.edu.au/77836/1/Moh%20Edi_Wibowo_Thesis.pdf.

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This thesis investigates face recognition in video under the presence of large pose variations. It proposes a solution that performs simultaneous detection of facial landmarks and head poses across large pose variations, employs discriminative modelling of feature distributions of faces with varying poses, and applies fusion of multiple classifiers to pose-mismatch recognition. Experiments on several benchmark datasets have demonstrated that improved performance is achieved using the proposed solution.
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Kumar, Sooraj. "Face recognition with variation in pose angle using face graphs /." Online version of thesis, 2009. http://hdl.handle.net/1850/9482.

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King, Steve. "Robust face recognition under varying illumination and pose." Thesis, University of Huddersfield, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.417305.

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Beymer, David James. "Pose-invariant face recognition using real and virtual views." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/38101.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1995.<br>Includes bibliographical references (p. 173-184).<br>by David James Beymer.<br>Ph.D.
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Du, Shan. "Image-based face recognition under varying pose and illuminations conditions." Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/2814.

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Image-based face recognition has attained wide applications during the past decades in commerce and law enforcement areas, such as mug shot database matching, identity authentication, and access control. Existing face recognition techniques (e.g., Eigenface, Fisherface, and Elastic Bunch Graph Matching, etc.), however, do not perform well when the following case inevitably exists. The case is that, due to some variations in imaging conditions, e.g., pose and illumination changes, face images of the same person often have different appearances. These variations make face recognition techniques
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Books on the topic "Face Recognition Across Pose"

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Bourlai, Thirimachos, ed. Face Recognition Across the Imaging Spectrum. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28501-6.

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Bourlai, Thirimachos. Face Recognition Across the Imaging Spectrum. Springer, 2016.

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Bourlai, Thirimachos. Face Recognition Across the Imaging Spectrum. Springer London, Limited, 2016.

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Bourlai, Thirimachos. Face Recognition Across the Imaging Spectrum. Springer, 2019.

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Grint, Keith. Mutiny and Leadership. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780192893345.001.0001.

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Mutiny is often associated with the occasional mis-leadership of the masses by politically inspired hotheads or a spontaneous and unusually romantic gesture of defiance against a uniquely overbearing military superior. In reality it is seldom either, and usually it has far more mundane roots, not in the absolute poverty of the subordinates but in the relative poverty of the relationships between leaders and led in a military situation. Using contemporary leadership theory to cast a critical light on an array of mutinies across time and space, this book suggests we consider mutiny as a permanen
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Scharbrodt, Oliver, and Yafa Shanneik, eds. Shi'a Minorities in the Contemporary World. Edinburgh University Press, 2020. http://dx.doi.org/10.3366/edinburgh/9781474430371.001.0001.

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Global migration flows in the 20<sup>th</sup> century have seen the emergence of Muslim diaspora and minority communities in Europe, North America and other parts of the world. While there is a growing body of research on Muslim minorities in various regional contexts, the particular experiences of Shi’a Muslim minorities across the globe has only received scant attention. This book offers new comparative perspectives of Shi’a minorities outside of the so-called “Muslim heartland” (Middle East, North Africa, Central and South Asia). It includes contributions on Shi’a minority communities in Eu
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Johansen, Bruce, and Adebowale Akande, eds. Nationalism: Past as Prologue. Nova Science Publishers, Inc., 2021. http://dx.doi.org/10.52305/aief3847.

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Nationalism: Past as Prologue began as a single volume being compiled by Ad Akande, a scholar from South Africa, who proposed it to me as co-author about two years ago. The original idea was to examine how the damaging roots of nationalism have been corroding political systems around the world, and creating dangerous obstacles for necessary international cooperation. Since I (Bruce E. Johansen) has written profusely about climate change (global warming, a.k.a. infrared forcing), I suggested a concerted effort in that direction. This is a worldwide existential threat that affects every living t
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Book chapters on the topic "Face Recognition Across Pose"

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Gross, Ralph, Simon Baker, Iain Matthews, and Takeo Kanade. "Face Recognition Across Pose and Illumination." In Handbook of Face Recognition. Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-932-1_8.

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Zhang, Wuming, Di Huang, Yunhong Wang, and Liming Chen. "3D Aided Face Recognition across Pose Variations." In Biometric Recognition. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35136-5_8.

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Liu, Chengjun. "Mixture of Classifiers for Face Recognition across Pose." In Intelligent Systems Reference Library. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28457-1_5.

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Gross, Ralph, Iain Matthews, and Simon Baker. "Fisher Light-Fields for Face Recognition across Pose and Illumination." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45783-6_58.

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Jiang, Xiaoyue, Yaping Hou, Dong Zhang, and Xiaoyi Feng. "Deep Learning in Face Recognition Across Variations in Pose and Illumination." In Deep Learning in Object Detection and Recognition. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-10-5152-4_3.

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Li, Shaoxin, Xin Liu, Xiujuan Chai, Haihong Zhang, Shihong Lao, and Shiguang Shan. "Morphable Displacement Field Based Image Matching for Face Recognition across Pose." In Computer Vision – ECCV 2012. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33718-5_8.

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Duth, P. Sudharshan, and N. L. Reshma. "Multi-Person Face Recognition Across Variations in Pose Using Deep Learning Techniques." In Data Intelligence and Cognitive Informatics. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-6460-1_28.

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Alonso-Fernandez, Fernando, Javier Barrachina, Kevin Hernandez-Diaz, and Josef Bigun. "SqueezeFacePoseNet: Lightweight Face Verification Across Different Poses for Mobile Platforms." In Pattern Recognition. ICPR International Workshops and Challenges. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68793-9_10.

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Jaiswal, Ajay, Nitin Kumar, and R. K. Agrawal. "A Hybrid of Principal Component Analysis and Partial Least Squares for Face Recognition across Pose." In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33275-3_8.

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Choi, Kwang Nam, Marco Carcassoni, and Edwin R. Hancock. "Estimating 3D Facial Pose Using the EM Algorithm." In Face Recognition. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-72201-1_22.

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Conference papers on the topic "Face Recognition Across Pose"

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"HEAD POSE ESTIMATION IN FACE RECOGNITION ACROSS POSE SCENARIOS." In International Conference on Computer Vision Theory and Applications. SciTePress - Science and and Technology Publications, 2008. http://dx.doi.org/10.5220/0001087702350242.

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Chen, Yi-Chen, Vishal M. Patel, Rama Chellappa, and P. Jonathon Phillips. "Adaptive representations for video-based face recognition across pose." In 2014 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE, 2014. http://dx.doi.org/10.1109/wacv.2014.6835997.

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Castillo, Carlos D., and David W. Jacobs. "Using Stereo Matching for 2-D Face Recognition Across Pose." In 2007 IEEE Conference on Computer Vision and Pattern Recognition. IEEE, 2007. http://dx.doi.org/10.1109/cvpr.2007.383111.

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Annan Li, Shiguang Shan, Xilin Chen, and Wen Gao. "Maximizing intra-individual correlations for face recognition across pose differences." In 2009 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2009. http://dx.doi.org/10.1109/cvprw.2009.5206659.

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Prince, S. J., and J. Elder. "Tied factor analysis for face recognition across large pose changes." In British Machine Vision Conference 2006. British Machine Vision Association, 2006. http://dx.doi.org/10.5244/c.20.91.

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Wibowo, Moh Edi, and Dian Tjondronegoro. "Face Recognition across Pose on Video Using Eigen Light-Fields." In 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA). IEEE, 2011. http://dx.doi.org/10.1109/dicta.2011.96.

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Jiang, Xiaoyue, Dong Zhang, and Xiaoyi Feng. "Local feature hierarchy for face recognition across pose and illumination." In 2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA). IEEE, 2016. http://dx.doi.org/10.1109/ipta.2016.7821023.

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Komagal, E., B. Yogameena, S. Saravana Perumaal, G. Nivethitha, and K. Menaka. "Face recognition across pose for PTZ camera video surveillance applications." In 2017 Ninth International Conference on Advances in Pattern Recognition (ICAPR). IEEE, 2017. http://dx.doi.org/10.1109/icapr.2017.8593006.

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Annan Li, Shiguang Shan, Xilin Chen, and Wen Gao. "Maximizing intra-individual correlations for face recognition across pose differences." In 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPR Workshops). IEEE, 2009. http://dx.doi.org/10.1109/cvpr.2009.5206659.

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Teijeiro-Mosquera, Lucia, Jose-Luis Alba-Castro, and Daniel Gonzalez-Jimenez. "Face Recognition Across Pose with Automatic Estimation of Pose Parameters through AAM-Based Landmarking." In 2010 20th International Conference on Pattern Recognition (ICPR). IEEE, 2010. http://dx.doi.org/10.1109/icpr.2010.332.

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Reports on the topic "Face Recognition Across Pose"

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Beymer, David J. Face Recognition Under Varying Pose. Defense Technical Information Center, 1993. http://dx.doi.org/10.21236/ada290205.

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McNulty, Steven, Sarah Wiener, Emrys Treasure, et al. Southeast Regional Climate Hub Assessment of Climate Change Vulnerability and Adaptation and Mitigation Strategies. United States. Department of Agriculture, 2015. http://dx.doi.org/10.32747/2015.7279978.ch.

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Climate-related variability in rainfall, temperature, and extreme weather (e.g., drought, flood, unseasonal frost) pose significant challenges to working land (i.e., range, forest, and agricultural) managers across the southeastern United States. This document outlines the type of risks that southeastern agriculture and forestry currently face and, in some cases, options to address these risks. Finally, this document looks forward to providing direction on the priority needs of Southeast working land managers and an outline of how the USDA Southeast Climate Hub will address those needs.
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Ali, Rassul. Konzeptentwicklung für CDM-Projekte - Risikoanalyse der projektbezogenen Generierung von CO2-Zertifikaten (CER). Sonderforschungsgruppe Institutionenanalyse, 2007. http://dx.doi.org/10.46850/sofia.9783933795842.

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The Clean Development Mechanism (CDM) is a complex legal-institutional system that, on the one hand, offers industrialized countries options for cost-effective emission reductions and, on the other, provides developing countries with opportunities for sustainable development. Investors face the difficulty of identifying suitable CDM projects from approximately 130 possible host countries and nearly 60 possible project activities. In order to develop points of reference for strategic investments, this paper identifies and categorizes the risks arising in the value creation process of bilateral
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