Borderline personality disorder （BPD） is a serious personality disorder characterized by a pervasive pattern of disturbances in mood regulation, impulse control, self-image and interpersonal relationships） In the U...Borderline personality disorder （BPD） is a serious personality disorder characterized by a pervasive pattern of disturbances in mood regulation, impulse control, self-image and interpersonal relationships） In the United States, the prevalence of BPD has been estimated at 1%-2% of the general population, 10% of psychiatric outpatients, and 20% of inpatients. According to the 4th text revision of diagnostic and statistical manual of mental disorders （DSM-IV-TR）, about 75% of BPD patients are women. The BPD diagnosis has been associated with heightened risk （8.5% to 10.0% among BPD patients） for completed suicide, a rate almost 50 times higher than in the general population.展开更多
A personalized emotion space is proposed to bridge the ＂affective gap＂ in video affective content understanding. In order to unify the discrete and dimensional emotion model, fuzzy C-mean （FCM） clustering algorith...A personalized emotion space is proposed to bridge the ＂affective gap＂ in video affective content understanding. In order to unify the discrete and dimensional emotion model, fuzzy C-mean （FCM） clustering algorithm is adopted to divide the emotion space. Gaussian mixture model （GMM） is used to determine the membership functions of typical affective subspaces. At every step of modeling the space, the inputs rely completely on the affective experiences recorded by the audiences. The advantages of the improved V-A （Velance-Arousal） emotion model are the per- sonalization, the ability to define typical affective state areas in the V-A emotion space, and the convenience to explicitly express the intensity of each affective state. The experimental results validate the model and show it can be used as a personalized emotion space for video affective content representation.展开更多
基金This research was supported by the Direct Research Grant of The Chinese University of Hong Kong
文摘Borderline personality disorder （BPD） is a serious personality disorder characterized by a pervasive pattern of disturbances in mood regulation, impulse control, self-image and interpersonal relationships） In the United States, the prevalence of BPD has been estimated at 1%-2% of the general population, 10% of psychiatric outpatients, and 20% of inpatients. According to the 4th text revision of diagnostic and statistical manual of mental disorders （DSM-IV-TR）, about 75% of BPD patients are women. The BPD diagnosis has been associated with heightened risk （8.5% to 10.0% among BPD patients） for completed suicide, a rate almost 50 times higher than in the general population.
基金Supported by the National Natural Science Foundation of China (60703049)the "Chenguang" Foundation for Young Scientists (200850731353)the National Postdoctoral Foundation of China (20060400847)
文摘A personalized emotion space is proposed to bridge the ＂affective gap＂ in video affective content understanding. In order to unify the discrete and dimensional emotion model, fuzzy C-mean （FCM） clustering algorithm is adopted to divide the emotion space. Gaussian mixture model （GMM） is used to determine the membership functions of typical affective subspaces. At every step of modeling the space, the inputs rely completely on the affective experiences recorded by the audiences. The advantages of the improved V-A （Velance-Arousal） emotion model are the per- sonalization, the ability to define typical affective state areas in the V-A emotion space, and the convenience to explicitly express the intensity of each affective state. The experimental results validate the model and show it can be used as a personalized emotion space for video affective content representation.
