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    Chapter and Conference Paper

    Towards Description of Block Model on Graph

    Existing block modeling methods can detect communities as blocks. However it remains a challenge to easily explain to a human why nodes belong to the same block. Such a description is very useful for answering wh...

    Zilong Bai, S. S. Ravi, Ian Davidson in Machine Learning and Knowledge Discovery i… (2021)

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    Chapter and Conference Paper

    A Framework for Deep Constrained Clustering - Algorithms and Advances

    The area of constrained clustering has been extensively explored by researchers and used by practitioners. Constrained clustering formulations exist for popular algorithms such as k-means, mixture models, and ...

    Hong**g Zhang, Sugato Basu, Ian Davidson in Machine Learning and Knowledge Discovery i… (2020)

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    Chapter and Conference Paper

    Constrained Clustering via Post-processing

    Constrained clustering has received much attention since its inception as the ability to add weak supervision into clustering has many uses. Most existing work is algorithm-specific, limited to simple together...

    Nguyen-Viet-Dung Nghiem, Christel Vrain, Thi-Bich-Hanh Dao in Discovery Science (2020)

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    Chapter and Conference Paper

    Generic Constraint-Based Block Modeling Using Constraint Programming

    Block modeling has been used extensively in many domains including social science, spatial temporal data analysis and even medical imaging

    Alex Mattenet, Ian Davidson in Principles and Practice of Constraint Prog… (2019)

  5. Chapter and Conference Paper

    Constrained Tensor Decomposition via Guidance: Increased Inter and Intra-Group Reliability in fMRI Analyses

    Recently, Davidson and his colleagues introduced a promising new approach to analyzing functional Magnetic Resonance Imaging (fMRI) that suggested a more appropriate analytic approach is one that views the spa...

    Peter B. Walker, Sean Gilpin, Sidney Fooshee in Foundations of Augmented Cognition (2015)

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    Chapter and Conference Paper

    Learning Automated Agents from Historical Game Data via Tensor Decomposition

    War games and military war games, in general, are extensively played throughout the world to help train people and see the effects of policies. Currently, these games are played by humans at great expense and ...

    Peter Walker in Social Computing, Behavioral-Cultural Modeling, and Prediction (2015)

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    Chapter and Conference Paper

    Complex Interactions in Social and Event Network Analysis

    Modern social network analytic techniques, such as centrality analysis, outlier detection, and/or segmentation, are limited in that they typically only identify interactions within the dataset occurring as a f...

    Peter B. Walker, Sidney G. Fooshee in Social Computing, Behavioral-Cultural Mode… (2015)

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    Chapter and Conference Paper

    Keyless Steganography in Spatial Domain Using Energetic Pixels

    Steganography is the field of hiding messages in apparently innocuous media (e.g. images). Hiding messages in the pixel intensities of images is a popular approach in spatial domain steganography. However, sin...

    Goutam Paul, Ian Davidson, Imon Mukherjee, S. S. Ravi in Information Systems Security (2012)

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    Chapter

    Introduction

    This book explores the impact of ideas of space and spatialization on recent and contemporary poetry and demonstrates the way some poetry, through form and content, engages with some of the most pressing and u...

    Ian Davidson in Ideas of Space in Contemporary Poetry (2007)

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    Chapter

    Histories of Selves: Space, Identity and Subjectivity

    The objectivist concern with placing experience within its context provides some indications earlier on in the twentieth century of the kind of poetry that might emerge from reconfigurations of time and place....

    Ian Davidson in Ideas of Space in Contemporary Poetry (2007)

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    Chapter

    Aesthetics of Space: Cubism to Language Poetry

    Cubism and the use of collage techniques are both illustrations of the beginnings of a turn towards the ‘spatial’ in the twentieth century, a turn which was, in part, to escape the over-determination of classi...

    Ian Davidson in Ideas of Space in Contemporary Poetry (2007)

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    Chapter

    The Space Age: The 1950s to the 1970s

    In the three volumes of The Maximus Poems Charles Olson constructed a poem based on the town of Gloucester, Massachusetts, while in his ‘Lunch Poems’, Frank O’Hara traced his walks through the city of New York. B...

    Ian Davidson in Ideas of Space in Contemporary Poetry (2007)

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    Chapter

    Space, Place and Identity

    If identity is pragmatically linked to our place of origin and of residence, language, ethnicity, gender and sexuality, then in recent years identities have become more fluid and impermanent as the world’s pop...

    Ian Davidson in Ideas of Space in Contemporary Poetry (2007)

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    Chapter

    Through the Looking Glass: Poetry in Virtual Worlds

    Writing about the relationship between the Internet, digital technologies and poetry and poetics within the context of changing ideas of space can be both a beguiling and a baffling process. It is beguiling in...

    Ian Davidson in Ideas of Space in Contemporary Poetry (2007)

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    Chapter

    Spatial Theories and Poetic Practices

    The ‘spatial turn’ in cultural and social theory is more than simply an increased interest in space or spatial relations brought about by low-cost travel, the development of the Internet and the activities of ...

    Ian Davidson in Ideas of Space in Contemporary Poetry (2007)

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    Chapter

    Now You See It: Visual Poetry and the Space of the Page

    Despite its marginal status on an experimental wing of the literary world, ‘concrete’ or ‘visual’ poetry, work that emphasizes the materiality of language and the visual elements of the poem, has been an impor...

    Ian Davidson in Ideas of Space in Contemporary Poetry (2007)

  17. Chapter and Conference Paper

    When Efficient Model Averaging Out-Performs Boosting and Bagging

    The Bayes optimal classifier (BOC) is an ensemble technique used extensively in the statistics literature. However, compared to other ensemble techniques such as bagging and boosting, BOC is less known and rar...

    Ian Davidson, Wei Fan in Knowledge Discovery in Databases: PKDD 2006 (2006)

  18. Chapter and Conference Paper

    Measuring Constraint-Set Utility for Partitional Clustering Algorithms

    Clustering with constraints is an active area of machine learning and data mining research. Previous empirical work has convincingly shown that adding constraints to clustering improves performance, with respe...

    Ian Davidson, Kiri L. Wagstaff, Sugato Basu in Knowledge Discovery in Databases: PKDD 2006 (2006)

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    Chapter and Conference Paper

    A Dynamic Adaptive Sampling Algorithm (DASA) for Real World Applications: Finger Print Recognition and Face Recognition

    In many real world problems, data mining algorithms have access to massive amounts of data (defense and security). Mining all the available data is prohibitive due to computational (time and memory) constraint...

    Ashwin Satyanarayana, Ian Davidson in Foundations of Intelligent Systems (2005)

  20. Chapter and Conference Paper

    Agglomerative Hierarchical Clustering with Constraints: Theoretical and Empirical Results

    We explore the use of instance and cluster-level constraints with agglomerative hierarchical clustering. Though previous work has illustrated the benefits of using constraints for non-hierarchical clustering, ...

    Ian Davidson, S. S. Ravi in Knowledge Discovery in Databases: PKDD 2005 (2005)

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