Titlebook: Advances in Visual Computing; 12th International S George Bebis,Richard Boyle,Tobias Isenberg Conference proceedings 2016 Springer Internat

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The Fluctuating Dynamic Threshold,cy of 97.91% in a dataset of 5309 images that comprises 18 classes. The proposed method can be easily employed to dataset with more classes. Our results demonstrate the feasibility of using the proposed algorithm for food recognition.

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cogent

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https://doi.org/10.1007/978-3-031-13920-8nating direction method of multipliers and an iteratively reweighted method to approximately minimize the objective function. We validate the effectiveness of our proposed model by employing it on an activity recognition problem and an intensity estimation problem, both of which include a large numb

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gimmick

Sad570

An Efficient Pedestrian Detector Based on Saliency and HOG Features Modeling the classification process. (2) By modeling the generated features, we intend to reduce the training dimension and make the system computationally efficient in real-time, or soft real-time. The results of the experimental study made on the challenging INRIA data set prove the effectiveness of the p

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Maximum Correntropy Based Dictionary Learning Framework for Physical Activity Recognition Using Wearnating direction method of multipliers and an iteratively reweighted method to approximately minimize the objective function. We validate the effectiveness of our proposed model by employing it on an activity recognition problem and an intensity estimation problem, both of which include a large numb