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  • Activity recognition in desktop environments

    Creator:
    Shen, Jianqiang
    Abstract:
    Knowledge workers are struggling in the information flood. There is a growing interest in intelligent desktop environments that help knowledge workers organize their daily life. Intelligent desktop environments allow the desktop user to define a set of “activities” that characterize the user’s desktop work. These environments then attempt to identify...
    Resource Type:
    Dissertation
    Full Text:
    Recognition in Desktop Environments Abstract approved: Thomas G. Dietterich Knowledge workers are

  • Automating aquatic insect identification through pattern recognition

    Creator:
    Thomas, Joshua K.
    Abstract:
    Aquatic insect population counts can be a good indicator of the health, or water quality, of rivers and streams. Stoneflies (Plecoptera) are particularly susceptible to pollution in streams. However, today’s current method for obtaining these population counts requires biologists to examine individual specimens under a microscope for identification to the...
    Resource Type:
    Masters Thesis
    Full Text:
    , 2006. Title: Automating Aquatic Insect Identification through Pattern Recognition

  • Depression in later life : recognition and treatment

    Creator:
    Oregon State University. Extension Service, Washington State University. Extension, University of Idaho. Extension, Schmall, Vicki L., Bowman, Sally R., 1949-, and Pacific Northwest Cooperative Extension
    Abstract:
    This publication isdesigned to help you: ❏ Understand depression and factors related to its onset in later life ❏ Recognize signs of depression and potential suicide ❏ Learn about treatments for depression ❏ Know what you can do if you suspect an older family member or friend is depressed or...
    Resource Type:
    Technical Report
    Full Text:
    Depression in Later Life: Recognition and Treatment

  • Cursive script recognition using a dynamic time warping method

    Creator:
    Koehler, Loren M.
    Abstract:
    This thesis is concerned with the problem of achieving accurate recognition rates for Cursive Script Recognition (CSR). Cursive Script Recognition is difficult due to writer variations such as script formation and time non-linearities. This research entailed analysis and implementation of a Cursive Script word-level Recognition system using Dynamic Time Warping...
    Resource Type:
    Masters Thesis
    Full Text:
    recognition rate for a population of authors and, in general, the recognition task becomes less complex. The

  • Ecological aspects of kin discriminating behavior with implications of functional value

    Creator:
    Hokit, D. Grant
    Abstract:
    To assess the context dependence of kin discriminating behavior, I examined kin-biased aggregation behavior in tadpoles of R. cascadae in different ecological conditions. I manipulated food distribution, predator presence, thermal heterogeneity, and relatedness in a multifactorial mesocosm experiment. All four factors interacted to influence tadpole dispersion. My results suggest that...
    Resource Type:
    Dissertation
    Full Text:
    Value General Introduction Population and community level phenomena must ultimately be the result

  • The architecture and design of a neural network classifier

    Creator:
    Jiang, Jin
    Abstract:
    The objective of this thesis is to present the architecture and design of a neural network-based pattern classifier. The classifier detects textual characters which have been translated, rotated, and corrupted by noise. This form of pattern classifier differs significantly from traditional pattern classifiers. The neural network architecture used in implementing...
    Resource Type:
    Masters Thesis
    Full Text:
    Patterns 34 3.3 Structure of Pattern Recognition System 35 3.4 Input Data Grid 37 3.5 Comparison of

  • Image features and learning algorithms for biological, generic and social object recognition

    Creator:
    Zhang, Wei
    Abstract:
    Automated recognition of object categories in images is a critical step for many real-world computer vision applications. Interest region detectors and region descriptors have been widely employed to tackle the variability of objects in pose, scale, lighting, texture, color, and so on. Different types of object recognition problems usually require...
    Resource Type:
    Dissertation
    Full Text:
    recognition Population counts of insects that live in soils, lakes, streams and ocean are good

  • Cellular Recognition, Division, and Proliferation in the Cnidarian-Dinoflagellate Symbiosis

    Creator:
    Tivey, Trevor R.
    Abstract:
    Cnidarians and their symbiotic dinoflagellates form a productive mutualism that shapes marine environments. In this symbiosis, dinoflagellate species from the family Symbiodiniacea reside within cnidarian host gastrodermal cells and provide the host with photosynthetically fixed carbon in exchange for host metabolites. This nutritional exchange allows both partners to thrive in...
    Resource Type:
    Dissertation
    Full Text:
    Integrative Biology presented on June 13, 2019. Title: Cellular Recognition, Division, and Proliferation

  • Image feature detection and matching for biological object recognition

    Creator:
    Deng, Hongli
    Abstract:
    Image feature detection and matching are two critical processes for many computer vision tasks. Currently, intensity-based local interest region detectors and local feature-based matching methods are used widely in computer vision applications. But in some applications, such as biological object recognition tasks, within-class changes in pose, lighting, color, and texture...
    Resource Type:
    Dissertation
    Full Text:
    : Image Feature Detection and Matching for Biological Object Recognition Abstract approved: Eric

  • Application of pattern recognition to a human behavior problem

    Creator:
    Chang, Chia-hao
    Abstract:
    Pattern recognition techniques and their application to a consumer behavior study are presented. The Local Majority Method (LOMAME) utilizes a set of prototypes and corrective factors which undergo a training cycle before being utilized as pattern classifiers. Its advantages over the Minimum-Distance Method and the Fix and Hodges Method are...
    Resource Type:
    Masters Thesis
    Full Text:
    Application of pattern recognition to a human behavior