The Experts below are selected from a list of 2742 Experts worldwide ranked by ideXlab platform
Ramesh Jain - One of the best experts on this subject based on the ideXlab platform.
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VISUAL - Complex Visual Activity Recognition Using a Temporally Ordered Database
Lecture Notes in Computer Science, 1999Co-Authors: Shailendra K. Bhonsle, Simone Santini, Amarnath Gupta, Marcel Worring, Ramesh JainAbstract:We propose using a Temporally ordered database for complex visual activity recognition. We use a Temporal Precedence relation together with the assumption of fixed bounded Temporal uncertainty of occurrence time of an atomic activity and comparatively large Temporal extent of the complex activity. Under these conditions we identify the Temporal structure of complex activities as a semiorder and design a database that has semiorder as its data model. A query algebra is then defined for this data model.
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complex visual activity recognition using a Temporally ordered database
Lecture Notes in Computer Science, 1999Co-Authors: Shailendra K. Bhonsle, Simone Santini, Amarnath Gupta, Marcel Worring, Ramesh JainAbstract:We propose using a Temporally ordered database for complex visual activity recognition. We use a Temporal Precedence relation together with the assumption of fixed bounded Temporal uncertainty of occurrence time of an atomic activity and comparatively large Temporal extent of the complex activity. Under these conditions we identify the Temporal structure of complex activities as a semiorder and design a database that has semiorder as its data model. A query algebra is then defined for this data model.
Shailendra K. Bhonsle - One of the best experts on this subject based on the ideXlab platform.
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VISUAL - Complex Visual Activity Recognition Using a Temporally Ordered Database
Lecture Notes in Computer Science, 1999Co-Authors: Shailendra K. Bhonsle, Simone Santini, Amarnath Gupta, Marcel Worring, Ramesh JainAbstract:We propose using a Temporally ordered database for complex visual activity recognition. We use a Temporal Precedence relation together with the assumption of fixed bounded Temporal uncertainty of occurrence time of an atomic activity and comparatively large Temporal extent of the complex activity. Under these conditions we identify the Temporal structure of complex activities as a semiorder and design a database that has semiorder as its data model. A query algebra is then defined for this data model.
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complex visual activity recognition using a Temporally ordered database
Lecture Notes in Computer Science, 1999Co-Authors: Shailendra K. Bhonsle, Simone Santini, Amarnath Gupta, Marcel Worring, Ramesh JainAbstract:We propose using a Temporally ordered database for complex visual activity recognition. We use a Temporal Precedence relation together with the assumption of fixed bounded Temporal uncertainty of occurrence time of an atomic activity and comparatively large Temporal extent of the complex activity. Under these conditions we identify the Temporal structure of complex activities as a semiorder and design a database that has semiorder as its data model. A query algebra is then defined for this data model.
John W Finney - One of the best experts on this subject based on the ideXlab platform.
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Treatment processes and mediators of substance use disorders treatment effects: the benefits of side road excursions.
Alcoholism: Clinical and Experimental Research, 2007Co-Authors: John W FinneyAbstract:Background: This article provides some commentary on six brief presentations on treatment processes and mediators of substance use disorder (SUD) treatment effects that were made at the 2005 Research Society on Alcoholism Satellite Preconference on “The Search for Mechanisms of Change in Evidence-Based Behavioral Treatments.” Methods: Six presentations are discussed. Results: The foci of the presentations ranged from the linkages of intermediate outcomes of cognitive-behavioral and 12-step treatment (e.g., spirituality) to posttreatment substance use to the relationship between treatment completion of brief motivational interviewing and treatment outcome. None of the six presentations met all or even most of the criteria for analyses of mediation of intervention effects outlined by Kazdin and Nock. In fact, some did not examine mediation at all. However, the presentations were valuable in illustrating that important new knowledge can be gained from addressing SUD treatment processes and mechanisms of treatment change. Conclusions: Given the paucity of extant research on mediation of SUD treatment effects, correlational explorations of treatment processes and treatment mediators are useful at this point, even though most mediational analyses do not meet many of the criteria listed by Kazdin and Nock. More attention should be devoted to assessing mediators before the assessment of outcome variables (e.g., during treatment) in order to address Temporal Precedence. Only after reasonable evidence has accrued regarding statistical mediation (expected associations, Temporal Precedence, reduction in treatment effects when putative mediator is controlled) does it make sense to mount expensive studies with experimental designs to examine causal mediation effects.
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Treatment processes and mediators of substance use disorders treatment effects: the benefits of side road excursions.
Alcoholism clinical and experimental research, 2007Co-Authors: John W FinneyAbstract:This article provides some commentary on six brief presentations on treatment processes and mediators of substance use disorder (SUD) treatment effects that were made at the 2005 Research Society on Alcoholism Satellite Preconference on "The Search for Mechanisms of Change in Evidence-Based Behavioral Treatments." Six presentations are discussed. The foci of the presentations ranged from the linkages of intermediate outcomes of cognitive-behavioral and 12-step treatment (e.g., spirituality) to posttreatment substance use to the relationship between treatment completion of brief motivational interviewing and treatment outcome. None of the six presentations met all or even most of the criteria for analyses of mediation of intervention effects outlined by Kazdin and Nock. In fact, some did not examine mediation at all. However, the presentations were valuable in illustrating that important new knowledge can be gained from addressing SUD treatment processes and mechanisms of treatment change. Given the paucity of extant research on mediation of SUD treatment effects, correlational explorations of treatment processes and treatment mediators are useful at this point, even though most mediational analyses do not meet many of the criteria listed by Kazdin and Nock. More attention should be devoted to assessing mediators before the assessment of outcome variables (e.g., during treatment) in order to address Temporal Precedence. Only after reasonable evidence has accrued regarding statistical mediation (expected associations, Temporal Precedence, reduction in treatment effects when putative mediator is controlled) does it make sense to mount expensive studies with experimental designs to examine causal mediation effects.
Scott T. Gaynor - One of the best experts on this subject based on the ideXlab platform.
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Temporal Precedence in the identification of mediators of change: A brief comment on "Mediators of change in the child/adolescent multimodal treatment study" (Kendall et al., 2016).
Journal of consulting and clinical psychology, 2017Co-Authors: Scott T. GaynorAbstract:OBJECTIVE Comment on the issue of Temporal Precedence and the implications for interpreting the results of the mediation analyses in the Child/Adolescent Multimodal Treatment Study. METHOD Review of Kendall et al. (2016). RESULTS Kendall et al. reported that residualized (baseline to posttreatment) change in coping efficacy, but not anxious self-talk, mediated residualized (baseline to follow-up) change in anxiety symptoms in cognitive-behavior therapy (CBT), sertraline (SRT), and CBT + SRT compared to placebo. Because the measure of anxiety symptoms included data from follow-up, it was concluded that "the gains being referred to can be viewed as 'change following treatment'" (p. 8) and, therefore, the analyses captured "true Temporal Precedence" (p. 3). However, the anxiety scores represented an amalgam of change occurring within and after treatment, and available data suggest much of the anxiety change occurred during the treatment, the time when the change in coping occurred. CONCLUSIONS Given the measurement timeline, a clear and unambiguous claim of demonstrating Temporal Precedence is not justified. Nonetheless, these results remain important for other reasons when interpreted in the context of the broad cognitive-behavioral conceptual model of anxiety that led to the selection of these mediators for examination. (PsycINFO Database Record
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Temporal Precedence in the identification of mediators of change a brief comment on mediators of change in the child adolescent multimodal treatment study kendall et al 2016
Journal of Consulting and Clinical Psychology, 2017Co-Authors: Scott T. GaynorAbstract:OBJECTIVE Comment on the issue of Temporal Precedence and the implications for interpreting the results of the mediation analyses in the Child/Adolescent Multimodal Treatment Study. METHOD Review of Kendall et al. (2016). RESULTS Kendall et al. reported that residualized (baseline to posttreatment) change in coping efficacy, but not anxious self-talk, mediated residualized (baseline to follow-up) change in anxiety symptoms in cognitive-behavior therapy (CBT), sertraline (SRT), and CBT + SRT compared to placebo. Because the measure of anxiety symptoms included data from follow-up, it was concluded that "the gains being referred to can be viewed as 'change following treatment'" (p. 8) and, therefore, the analyses captured "true Temporal Precedence" (p. 3). However, the anxiety scores represented an amalgam of change occurring within and after treatment, and available data suggest much of the anxiety change occurred during the treatment, the time when the change in coping occurred. CONCLUSIONS Given the measurement timeline, a clear and unambiguous claim of demonstrating Temporal Precedence is not justified. Nonetheless, these results remain important for other reasons when interpreted in the context of the broad cognitive-behavioral conceptual model of anxiety that led to the selection of these mediators for examination. (PsycINFO Database Record
Philip C. Kendall - One of the best experts on this subject based on the ideXlab platform.
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On the importance of Temporal Precedence in mediational analyses.
Journal of consulting and clinical psychology, 2017Co-Authors: Philip C. Kendall, Thomas M. Olino, Matthew M. Carper, Heather B. MakoverAbstract:This response to the commentary by Gaynor (in press) (a) underscores the importance of defining terms (predictor, moderator, and mediator variables) used in psychological treatment outcome research, (b) notes the improvements in mediation analyses using treatment of youth anxiety as the illustration, and (c) encourages continued advancement in the methodology for mediation analyses. We agree with Gaynor (in press) both on the importance of Temporal Precedence and on the use of cautious language with regard to interpreting mediational analyses. (PsycINFO Database Record
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Internalizing disorders and substance use disorders in youth: comorbidity, risk, Temporal order, and implications for intervention.
Clinical psychology review, 2010Co-Authors: Kelly A. O'neil, Bradley T. Conner, Philip C. KendallAbstract:Abstract This review examines the empirical literature on the relationship between internalizing disorders and substance use disorders (SUDs) in youth in terms of (a) comorbidity rates, (b) risk relationships, (c) Temporal sequencing, and (d) implications for intervention. Findings from community and clinical samples suggest that comorbidity rates range from 9.0 to 47.9%. The majority of the evidence supports the Temporal Precedence of internalizing disorders before substance use disorders and a unidirectional risk model in which internalizing disorders increase risk for later substance use disorders. Implications of this relationship for interventions are considered, both in terms of treatment outcome for principal disorders and in terms of the potential “secondary benefit” of treating one disorder for preventing or reducing risk of the other. Finally, recommendations for future research on the relationship between internalizing disorders and SUDs in youth are discussed.
