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检索条件"机构=Statistical Visual Computing Laboratory"
19 条 记 录,以下是11-20 订阅
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Boosting classifier cascades
Boosting classifier cascades
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24th Annual Conference on Neural Information Processing Systems 2010, NIPS 2010
作者: Saberian, Mohammad J. Vasconcelos, Nuno Statistical Visual Computing Laboratory University of California San Diego San Diego CA 92039 United States
The problem of optimal and automatic design of a detector cascade is considered. A novel mathematical model is introduced for a cascaded detector. This model is analytically tractable, leads to recursive computation, ... 详细信息
来源: 评论
A biologically plausible network for the computation of orientation dominance
A biologically plausible network for the computation of orie...
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24th Annual Conference on Neural Information Processing Systems 2010, NIPS 2010
作者: Muralidharan, Kritika Vasconcelos, Nuno Statistical Visual Computing Laboratory University of California San Diego San Diego CA 92039 United States
The determination of dominant orientation at a given image location is formulated as a decision-theoretic question. This leads to a novel measure for the dominance of a given orientation θ, which is similar to that u... 详细信息
来源: 评论
Variable margin losses for classifier design  10
Variable margin losses for classifier design
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Annual Conference on Neural Information Processing Systems
作者: Hamed Masnadi-Shirazi Nuno Vasconcelos Statistical Visual Computing Laboratory University of California San Diego LaJollaCA 92039
The problem of controlling the margin of a classifier is studied. A detailed analytical study is presented on how properties of the classification risk, such as its optimal link and minimum risk functions, are related... 详细信息
来源: 评论
Boosting Classifier Cascades  10
Boosting Classifier Cascades
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Annual Conference on Neural Information Processing Systems
作者: Mohammad J. Saberian Nuno Vasconcelos Statistical Visual Computing Laboratory University of California San Diego La Jolla CA 92039
The problem of optimal and automatic design of a detector cascade is considered. A novel mathematical model is introduced for a cascaded detector. This model is analytically tractable, leads to recursive computation, ... 详细信息
来源: 评论
A biologically plausible network for the computation of orientation dominance  10
A biologically plausible network for the computation of orie...
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Annual Conference on Neural Information Processing Systems
作者: Kritika Muralidharan Nuno Vasconcelos Statistical Visual Computing Laboratory University of California San Diego La Jolla CA 92039
The determination of dominant orientation at a given image location is formulated as a decision-theoretic question. This leads to a novel measure for the dominance of a given orientation 9, which is similar to that us... 详细信息
来源: 评论
On the design of loss functions for classification: Theory, robustness to outliers, and SavageBoost
On the design of loss functions for classification: Theory, ...
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22nd Annual Conference on Neural Information Processing Systems, NIPS 2008
作者: Masnadi-Shirazi, Hamed Vasconcelos, Nuno Statistical Visual Computing Laboratory University of California San Diego San Diego CA 92039 United States
The machine learning problem of classifier design is studied from the perspective of probability elicitation, in statistics. This shows that the standard approach of proceeding from the specification of a loss, to the... 详细信息
来源: 评论
On the design of loss functions for classification: theory, robustness to outliers, and SavageBoost  08
On the design of loss functions for classification: theory, ...
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Proceedings of the 22nd International Conference on Neural Information Processing Systems
作者: Hamed Masnadi-Shirazi Nuno Vasconcelos Statistical Visual Computing Laboratory University of California San Diego La Jolla CA
The machine learning problem of classifier design is studied from the perspective of probability elicitation, in statistics. This shows that the standard approach of proceeding from the specification of a loss, to the...
来源: 评论
Asymmetric boosting  07
Asymmetric boosting
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24th International Conference on Machine Learning, ICML 2007
作者: Masnadi-Shirazi, Hamed Vasconcelos, Nuno Statistical Visual Computing Laboratory University of California San Diego San Diego CA 92039 United States
A cost-sensitive extension of boosting, denoted as asymmetric boosting, is presented. Unlike previous proposals, the new algorithm is derived from sound decision-theoretic principles, which exploit the statistical int... 详细信息
来源: 评论
Scalable discriminant feature selection for image retrieval and recognition
Scalable discriminant feature selection for image retrieval ...
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Conference on Computer Vision and Pattern Recognition (CVPR)
作者: N. Vasconcelos M. Vasconcelos Statistical Visual Computing Laboratory University of California San Diego USA Harvard Robotics Laboratory Harvard University USA
Problems such as object recognition or image retrieval require feature selection (FS) algorithms that scale well enough to be applicable to databases containing large numbers of image classes and large amounts of data... 详细信息
来源: 评论