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Books on the topic 'Model-based recognition'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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1

Lanitis, Andreas. Model-based recognition of variable objects. Manchester: University of Manchester, 1995.

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2

Dawson, K. M. Model-based 3-D object recognition using scalartransform descriptors. Dublin: Trinity College, Department of Computer Science, 1991.

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3

Horton, Timothy J. Occluded model-based recognition with orientation and spatial occupancy representations. Toronto: University of Toronto, Dept. of Computer Science, 1990.

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4

Horton, Timothy J. Occluded model-based recognition with orientation and spatial occupancy representations. Toronto: University of Toronto, Dept. of Computer Science, 1990.

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5

Model-based image matching using location. Cambridge, Mass: MIT Press, 1985.

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6

Palm, Rainer. Model Based Fuzzy Control: Fuzzy Gain Schedulers and Sliding Mode Fuzzy Controllers. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997.

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7

N, Nasr Hatem, ed. Selected papers on model-based vision. Bellingham, Wash., USA: SPIE Optical Engineering Press, 1993.

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8

N, Nasr Hatem, Larson Rodney M, and Society of Photo-optical Instrumentation Engineers., eds. Model-based vision: 19-20 November 1992, Boston, Massachusetts. Bellingham, Wash., USA: SPIE, 1993.

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9

M, Larson Rodney, Nasr Hatem N, and Society of Photo-optical Instrumentation Engineers., eds. Model-based vision development and tools: 14-15 November 1991, Boston, Massachusetts. Bellingham, Wash: SPIE, 1992.

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10

Nosofsky, Robert M., and Thomas J. Palmeri. An Exemplar-Based Random-Walk Model of Categorization and Recognition. Edited by Jerome R. Busemeyer, Zheng Wang, James T. Townsend, and Ami Eidels. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199957996.013.7.

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In this chapter, we provide a review of a process-oriented mathematical model of categorization known as the exemplar-based random-walk (EBRW) model (Nosofsky & Palmeri, 1997a). The EBRW model is a member of the class of exemplar models. According to such models, people represent categories by storing individual exemplars of the categories in memory, and classify objects on the basis of their similarity to the stored exemplars. The EBRW model combines ideas ranging from the fields of choice and similarity, to the development of automaticity, to response-time models of evidence accumulation and decision-making. This integrated model explains relations between categorization and other fundamental cognitive processes, including individual-object identification, the development of expertise in tasks of skilled performance, and old-new recognition memory. Furthermore, it provides an account of how categorization and recognition decision-making unfold through time. We also provide comparisons with some other process models of categorization.
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11

Lamel, Lori, and Jean-Luc Gauvain. Speech Recognition. Edited by Ruslan Mitkov. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780199276349.013.0016.

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Speech recognition is concerned with converting the speech waveform, an acoustic signal, into a sequence of words. Today's approaches are based on a statistical modellization of the speech signal. This article provides an overview of the main topics addressed in speech recognition, which are, acoustic-phonetic modelling, lexical representation, language modelling, decoding, and model adaptation. Language models are used in speech recognition to estimate the probability of word sequences. The main components of a generic speech recognition system are, main knowledge sources, feature analysis, and acoustic and language models, which are estimated in a training phase, and the decoder. The focus of this article is on methods used in state-of-the-art speaker-independent, large-vocabulary continuous speech recognition (LVCSR). Primary application areas for such technology are dictation, spoken language dialogue, and transcription for information archival and retrieval systems. Finally, this article discusses issues and directions of future research.
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12

United States. National Aeronautics and Space Administration., ed. A model-based approach for detection of runways and other objects in image sequences acquired using an on-board camera: Final technical report for NASA grant NAG-1-1371, "analysis of image sequences from sensors for restricted visibility operations", period of the grant January 24, 1992 to May 31, 1994. [Washington, DC: National Aeronautics and Space Administration, 1994.

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13

United States. National Aeronautics and Space Administration., ed. A model-based approach for detection of runways and other objects in image sequences acquired using an on-board camera: Final technical report for NASA grant NAG-1-1371, "analysis of image sequences from sensors for restricted visibility operations", period of the grant January 24, 1992 to May 31, 1994. [Washington, DC: National Aeronautics and Space Administration, 1994.

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14

United States. National Aeronautics and Space Administration., ed. A model-based approach for detection of runways and other objects in image sequences acquired using an on-board camera: Final technical report for NASA grant NAG-1-1371, "analysis of image sequences from sensors for restricted visibility operations", period of the grant January 24, 1992 to May 31, 1994. [Washington, DC: National Aeronautics and Space Administration, 1994.

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15

Scherer, Klaus, Marcello Mortillaro, and Marc Mehu. Facial Expression Is Driven by Appraisal and Generates Appraisal Inference. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190613501.003.0019.

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Emotion researchers generally concur that most emotions in humans and animals are elicited by the appraisals of events that are highly relevant for the organism, generating action tendencies that are often accompanied by changes in expression, autonomic physiology, and feeling. Scherer’s component process model of emotion (CPM) postulates that individual appraisal checks drive the dynamics and configuration of the facial expression of emotion and that emotion recognition is based on appraisal inference with consequent emotion attribution. This chapter outlines the model and reviews the accrued empirical evidence that supports these claims, covering studies that experimentally induced specific appraisals or that used induction of emotions with typical appraisal configurations (measuring facial expression via electromyographic recording) or behavioral coding of facial action units. In addition, recent studies analyzing the mechanisms of emotion recognition are shown to support the theoretical assumptions.
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16

Gilbert, Jérémie. Property Rights and Natural Resources. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198795667.003.0003.

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This chapter focuses on the connection between property rights and natural resources. Most national jurisdictions are based on a model of ‘State property’, whereby ownership and control of natural resources are vested in the ultimate authority of the State. This chapter analyses how the right to property supports the recognition of property rights over natural resources for certain category of citizens, notably indigenous peoples, landless peasants, and rural women. Based on this analysis, the chapter then explores how human rights law is gradually supporting the recognition of some forms of community property rights, notably for local forest communities and small-scale fishing communities. It also explores some of the underlying tensions between the concessionary rights of corporations and investors over natural resources and the rights of local communities.
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17

Boland, Lawrence A. Recognizing knowledge and learning in equilibrium models. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190274320.003.0007.

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This chapter introduces Part II, discussing the limits of equilibrium models. This chapter discusses how the recognition of time and information within models results in the need to deal with expectations explicitly. This leads to the problem of explaining nature of a decision maker’s knowledge – is it quantity-based or quality based. That is, is knowledge like wealth or like health. The chapter also provides a discussion of the main property that every neoclassical equilibrium must provide. Specifically, an equilibrium model’s explanation of economic events must not violate methodological individualism. The chapter criticizes the presumption that methodological individualism must be compatibility with a psychology-based model of the individual decision maker. Using a psychology-based model of the individual can undermine the idea of completely free choice, which was the original appeal of the equilibrium models.
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18

Boland, Lawrence A. Equilibrium models vs. complexity economics. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190274320.003.0013.

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This chapter will critically examine the non-equilibrium-based complexity theory approach to model building. Complexity theory replaces equilibrium-based models with algorithm-based models. Attention will be paid to the work of W. Brian Arthur and the other researchers at the Santa Fe Institute, with a particular assessment of their approach to including knowledge and learning recognition in their alternative to equilibrium models. Topics discussed include complexity economics, technology, increasing returns, diversity, learning, path dependency and evolution. Particular attention is given to the Santa Fe Institutes use of inductive learning to characterize how a market participant acts in the face of incomplete and uncertain information.
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19

Taberlet, Pierre, Aurélie Bonin, Lucie Zinger, and Eric Coissac. Host-associated microbiota. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198767220.003.0016.

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DNA-based approaches have enabled the multifaceted role of microbes for the fitness and performance of their host to be revealed. The increasing recognition of the crucial role of microorganisms for the fitness and performance of plants and animals has led to the concepts of holobiont (i.e., a host and its microbiota), and hologenome (i.e., the collective genomes of a holobiont). Here a brief review is provided of the advances that have been made in this field by using DNA-based approaches. Chapter 16 “Host-associated microbiota” summarizes this area of research by presenting past and recent major findings, as well as new research avenues for unraveling host-microbiota interactions in non-model animals and plants.
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20

Chambers, Clare. Against Marriage. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198744009.001.0001.

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Against Marriage: An Egalitarian Defence of the Marriage-Free State is a critique of the state recognition of marriage and a proposal for an alternative form of regulation. Part One, ‘Against Marriage’, sets out the critique. State-recognized marriage is unjust as it violates two fundamental values: equality and freedom. Marriage has historically been an instrument for maintaining inequality between men and women both practically, through laws, and symbolically, through norms. Marriage also violates equality between same-sex and different-sex couples. Reform can remove some of these inequalities, but marriage inevitably involves inequality between married and unmarried people. Moreover, state-recognized marriage threatens liberty since it involves the state endorsing a particular way of life. Various arguments have been offered in favour of this state promotion, but none of them adequately support the state recognition of marriage as opposed to other, more inclusive measures. Part Two, ‘The Marriage-Free State’, sets out the alternative. Most feminist and egalitarian critics of state-recognized marriage advocate replacing it with either relationship contracts or alternative statuses such as civil or care-based unions. Neither option is ideal, particularly since both contracts and alternative statuses leave vulnerable people unprotected. Instead, the book proposes a piecemeal, practice-based model of regulation, applying to all people who are engaging in relationship practices that should justly be regulated. In this model, equality is secured by the regulations themselves and liberty is secured by opting out. Finally, the book considers how the state should act to ensure equality in private marriages, be they religious or secular.
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21

Molinari, Victor, ed. Specialty Competencies in Geropsychology. Oxford University Press, 2015. http://dx.doi.org/10.1093/med:psych/9780195385670.001.0001.

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This resource describes the foundational and functional competencies underlying geropsychology, which is the area in professional psychology that focuses on the psychological and behavioral aspects of aging. Because of the demand for competent psychological services growing within the United States as a function of the aging of the population, the Commission for the Recognition of Specialties and Proficiencies in Professional Psychology (CRSPPP) recently has designated professional geropsychology as a specialty. Based in large part on the Pikes Peaks model for training in professional geropsychology, this online resource offers guidance on how to apply scientific findings about psychological aging to improve the lives of older adults.
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22

Greenwald, Margaret L. Wernicke’s Aphasia: Auditory Processing and Comprehension. Edited by Anastasia M. Raymer and Leslie J. Gonzalez Rothi. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199772391.013.5.

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This chapter includes a discussion of the symptoms of Wernicke’s aphasia, including impaired auditory comprehension and neologistic verbal expression. Anosognosia, impaired attention, and impaired self-monitoring are discussed as they relate to Wernicke’s aphasia. Current evidence of the neuroanatomical correlates of Wernicke’s aphasia and the role of Wernicke’s area is presented from a variety of experimental perspectives. Theoretical approaches to understanding impaired auditory processing in Wernicke’s aphasia are discussed in relation to perception, recognition, and comprehension of speech. Methods for the assessment and interpretation of receptive and expressive language in Wernicke’s aphasia and jargon aphasia are described within the context of a cognitive model depicting multiple input modalities and output modes of language. Finally, current methods for the treatment and management of Wernicke’s aphasia are reviewed, with an emphasis on evidence-based practice.
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23

Anderson, James A. Brain Theory. Oxford University Press, 2018. http://dx.doi.org/10.1093/acprof:oso/9780199357789.003.0012.

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What form would a brain theory take? Would it be short and punchy, like Maxwell’s Equations? Or with a clear goal but achieved by a community of mechanisms—local theories—to attain that goal, like the US Tax Code. The best developed recent brain-like model is the “neural network.” In the late 1950s Rosenblatt’s Perceptron and many variants proposed a brain-inspired associative network. Problems with the first generation of neural networks—limited capacity, opaque learning, and inaccuracy—have been largely overcome. In 2016, a program from Google, AlphaGo, based on a neural net using deep learning, defeated the world’s best Go player. The climax of this chapter is a fictional example starring Sherlock Holmes demonstrating that complex associative computation in practice has less in common with accurate pattern recognition and more with abstract high-level conceptual inference.
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24

Lethborg, Carrie, and David W. Kissane. The family perspective. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199656097.003.0176.

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In considering cancer as an illness that affects not only the patient but their entire family, this chapter offers a model of family-centred care to encourage an understanding of the impact of illness on the family, the family in the caregiver role, and the needs of family-based caregivers. From a clinical perspective, the authors offer a guide for assessing these families for interventions, including the use of open communication and information provision, the recognition of past patterns of relating, the encouragement of acceptance of support, discussions with the family as a whole, and support during unpreventable emotional suffering that families experience. Specific interventions described include preventive and supportive interventions, interventions that challenge dysfunction, and interventions with the family when a patient is dying. Family-centred care is challenging as a paradigm but a useful harness to improved quality of life, one that warrants the effort involved to ease the suffering of all.
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25

Knoll, James L. Individual psychotherapy. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199360574.003.0041.

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The abandonment of the medical model in corrections almost half a century ago left a scorched earth policy in terms of rehabilitation, and in turn, psychotherapeutic efforts with inmates. Fortunately, the promise of new progress is returning. Along with the imperative of improving psychiatric treatment in corrections, mental health has brought the science of psychotherapeutic intervention back into corrections, this time reinforced by a social science evidence base. In practice, much of the psychotherapy in jails and prisons is indeed based on individual interaction. It includes crisis intervention, the more traditional approach of supportive psychotherapy, and a growing body of manual-guided therapies. This chapter discusses practical and fundamental aspects of individual psychotherapy with inmate patients, followed by an overview of evidence based paradigms for psychotherapy in corrections. Therapeutic style, strategies to minimize the risks of therapeutic nihilism, the context of the treatment setting, and the limits of confidentiality are each reviewed. While much of the evidence base supports cognitive behavioral approaches (including motivational interviewing and mindfulness, among others), the importance of maintaining competence in psychodynamically informed therapy is discussed. Of enduring importance, recognition of countertransference themes in correctional settings is also explored in this chapter.
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