Browse by Subject "machine learning"

  • Lim, Shiau Hong (2009-05-05)
    Incorporating additional information from our prior domain knowledge can be the key to solving difficult classification tasks, especially when the available training data is limited. The crucial stage of feature construction, ...

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  • Sarmiento, Alejandro (2004-12)
    This work addresses the problem of generating a motion strategy for solving a visibility-based task with a mobile robot equipped with sensors. In particular, the problem is to find a static object -- modeled with a probability ...

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  • Akbas, Emre (2011-08-26)
    This dissertation is about extracting as well as making use of the structure and hierarchy present in images. We develop a new low-level, multiscale, hierarchical image segmentation algorithm designed to detect image ...

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  • Crisostomo Romero, Pedro Moises (2011-05-25)
    Hand detection on images has important applications on person activities recognition. This thesis focuses on PASCAL Visual Object Classes (VOC) system for hand detection. VOC has become a popular system for object detection, ...

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  • Tran, Du; Sorokin, Alexander; Forsyth, David (2008-03)
    This paper proposes a metric learning based approach for human activity recognition with two main objectives: (1) reject unfamiliar activities and (2) learn with few examples. We show that our approach outperforms all ...

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  • Wen, Zhen (2004-07)
    Human faces provide important cues of human activities. Thus they are useful for human-human communication, human-computer interaction (HCI) and intelligent video surveillance. Computational models for face analysis and ...

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  • Small, Kevin M. (2009-10-02)
    Statistical machine learning has become an integral technology for solving many informatics applications. In particular, corpus-based statistical techniques have emerged as the dominant paradigm for core natural language ...

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  • Jin, Jing (2014-01-16)
    Traditionally, multiple linear regression has been widely used in the field of organizational science for predictive modeling. Despite its pervasive use, the classical regression model falls short in several aspects, ...

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  • Heidorn, P. Bryan; Zhang, Qianjin (iSchools, 2013-02)
    The LABELX (Label Annotation through Biodiversity Enhanced Learning) is an extension of the HERBIS NLP system reported previously (Heidorn & Wei, 2008). The objective of the system is to formaly structure output from Optical ...

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  • Rizzolo, Nicholas (2012-02-06)
    Machine learning (ML) is the study of representations and algorithms used for building functions that improve their behavior with experience. Today, researchers in many domains are applying ML to solve their problems when ...

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  • Garg, Pranav; Neider, Daniel; Madhusudan, P.; Roth, Dan (2015)
    Inductive invariants can be robustly synthesized using a learning model where the teacher is a program verifier who instructs the learner through concrete program configurations, classified as positive, negative, and ...

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  • Chang, Allan; Amir, Eyal (2005-11)
    We present new algorithms for learning a logical model of actions' effects and preconditions in partially observable domains. The algorithms maintain a logical representation of the set of possible action models after each ...

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  • Klementiev, Alexandre A. (2010-01-06)
    Recent technological advances have facilitated the collection and distribution of a plethora of increasingly diverse and complex data. Supervised learning has been able to provide the toolbox of choice for exploiting it ...

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  • Zhang, Yanjun; Cui, Hong; Burkell, Jacquelyn; Mercer, Robert E. (iSchools, 2014-03-01)
    As health care information proliferates on the web, the content quality is varied and difficult to assess, partially due to the large volume and the dynamicity. This paper reports an automated approach in which the quality ...

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  • Li, Xiaoming (2006-08)
    The growing complexity of modern processors has made the generation of highly efficient code increasingly difficult. Manual code generation is very time consuming, but it is often the only choice since the code generated ...

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  • Kejriwal, Mayank (2011-12)
    In this thesis, we investigate techniques for the automatic transcription of handwritten text in digitally scanned United States Census forms from the 1930s. We experimentally show that Word Spotting techniques like Dynamic ...

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  • Choi, Erik; Kitzie, Vanessa; Shah, Chirag (iSchools, 2013-02)
    While social question-answering (SQA) services are becoming increasingly popular, there is often an issue of unsatisfactory or missing information for a question posed by an information seeker. This study creates a model ...

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  • Nimon, Kim; Caragea, Cornelia; Oswald, Frederick L. (iSchools, 2013-02)
    Meta-analysis is a principled statistical approach for summarizing quantitative information reported across studies within a research domain of interest. Although the results of meta-analyses can be highly informative for ...

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  • Sukumar, Pritam (2013-08-22)
    This thesis presents an investigation of the Collection of Parts Model for object categorization. Multiclass categorization is performed using the Collections of Parts model. Results using Support Vector Machines, L1 ...

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  • Candido, Salvatore J. (2011-08-25)
    We propose a new method for learning policies for large, partially observable Markov decision processes (POMDPs) that require long time horizons for planning. Computing optimal policies for POMDPs is an intractable problem ...

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