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A deep convolutional neural network for recognizing foods., , and . ICMV, volume 9875 of SPIE Proceedings, page 98751D. SPIE, (2015)An optimized convolutional neural network with bottleneck and spatial pyramid pooling layers for classification of foods., , and . Pattern Recognit. Lett., (2018)Adaptive Probabilistic Thresholding Method for Accurate Breast Region Segmentation in Mammograms., , and . ICPR, page 3357-3362. IEEE Computer Society, (2014)A Unified Framework for Coarse-to-Fine Recognition of Traffic Signs using Bayesian Network and Visual Attributes., , and . VISAPP (2), page 87-96. SciTePress, (2015)Toward an optimal convolutional neural network for traffic sign recognition., , and . ICMV, volume 9875 of SPIE Proceedings, page 98750K. SPIE, (2015)A Probabilistic Approach for Breast Boundary Extraction in Mammograms., , and . Comput. Math. Methods Medicine, (2013)Training a Mentee Network by Transferring Knowledge from a Mentor Network., , and . ECCV Workshops (3), volume 9915 of Lecture Notes in Computer Science, page 500-507. (2016)Analyzing the Stability of Convolutional Neural Networks against Image Degradation., , and . VISIGRAPP (4: VISAPP), page 370-382. SciTePress, (2016)Traffic Sign Recognition Using Visual Attributes and Bayesian Network., , and . VISIGRAPP (Selected Papers), volume 598 of Communications in Computer and Information Science, page 295-315. Springer, (2015)A Simulated Annealing Approach for Maximizing the Accrued Utility of an Isochronal Soft Real-Time System., , , and . ICECS, page 191-195. IEEE Computer Society, (2009)