Suchergebnisse - computer learning AND pattern recognition::(automated OR automatic) problems solving~

Fully Automatic Brain Tumor Segmentation using End-To-End Incremental Deep Neural Networks in MRI images von naceur, Mostefa Ben, Saouli, Rachida, Akil, Mohamed, Kachouri, Rostom

“… •A new fully automatic end-to-end deep learning model for brain tumor segmentation …”
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A Bi-Projection Neural Network for Solving Constrained Quadratic Optimization Problems von Xia, Youshen, Wang, Jun

“… In this paper, a bi-projection neural network for solving a class of constrained quadratic optimization problems is proposed …”
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Automatic discovery of resource-restricted Convolutional Neural Network topologies for myoelectric pattern recognition von Olsson, Alexander E., Björkman, Anders, Antfolk, Christian

“… Convolutional Neural Networks (CNNs) have been subject to extensive attention in the pattern recognition literature due to unprecedented performance in tasks of information extraction from unstructured data …”
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A Recurrent Neural Network for Solving Bilevel Linear Programming Problem von He, Xing, Li, Chuandong, Huang, Tingwen, Li, Chaojie, Huang, Junjian

“… ) modeled by means of a differential inclusion is proposed for solving the bilevel linear programming problem (BLPP …”
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Five points to check when comparing visual perception in humans and machines von Funke, Christina M., Borowski, Judy, Stosio, Karolina, Brendel, Wieland, Wallis, Thomas S. A., Bethge, Matthias

“… With the rise of machines to human-level performance in complex recognition tasks, a growing amount of work is directed toward comparing information processing in humans and machines …”
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Comparing machines and humans on a visual categorization test von Fleuret, François, Li, Ting, Dubout, Charles, Wampler, Emma K, Yantis, Steven, Geman, Donald

“… Automated scene interpretation has benefited from advances in machine learning, and restricted tasks, such as face detection, have been solved with sufficient accuracy for restricted settings …”
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Does a language model “understand” high school math? A survey of deep learning based word problem solvers von Sundaram, Sowmya S., Gurajada, Sairam, Padmanabhan, Deepak, Abraham, Savitha Sam, Fisichella, Marco

“… From the latter half of the last decade, there has been a growing interest in developing algorithms for automatically solving mathematical word problems (MWP …”
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Task-Driven Dictionary Learning von Mairal, J., Bach, F., Ponce, J.

“… In this context, learning the dictionary amounts to solving a large-scale matrix factorization problem, which can be done efficiently with classical optimization tools …”
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KGE-UNIT: toward the unification of molecular interactions prediction based on knowledge graph and multi-task learning on drug discovery von Zhang, Chengcheng, Zang, Tianyi, Zhao, Tianyi

“… ) and multi-task learning, for simultaneous prediction of drug–target interactions (DTIs) and drug–drug interactions (DDIs) and enhancing the performance of each task, even when data availability is limited …”
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Automatic assessment of cognitive and emotional states in virtual reality‐based flexibility training for four adolescents with autism von Moon, Jewoong, Ke, Fengfeng, Sokolikj, Zlatko

“… ) in interpreting, selecting and creating multimodal representations during STEM‐related design problem solving …”
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Solving Nonlinear Equality Constrained Multiobjective Optimization Problems Using Neural Networks von Mestari, Mohammed, Benzirar, Mohammed, Saber, Nadia, Khouil, Meryem

“… This paper develops a neural network architecture and a new processing method for solving in real time, the nonlinear equality constrained multiobjective optimization problem (NECMOP …”
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Location-Aware and Regularization-Adaptive Correlation Filters for Robust Visual Tracking von Liu, Risheng, Chen, Qianru, Yao, Yuansheng, Fan, Xin, Luo, Zhongxuan

“… Correlation filter (CF) has recently been widely used for visual tracking. The estimation of the search window and the filter-learning strategies is the key component of the CF trackers …”
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Marginal Space Deep Learning: Efficient Architecture for Volumetric Image Parsing von Ghesu, Florin C., Krubasik, Edward, Georgescu, Bogdan, Singh, Vivek, Yefeng Zheng, Hornegger, Joachim, Comaniciu, Dorin

“… We propose a pipeline for object detection and segmentation in the context of volumetric image parsing, solving a two-step learning problem …”
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An Interactive Approach to Solving Correspondence Problems von Jegelka, Stefanie, Kapoor, Ashish, Horvitz, Eric

“… Finding correspondences among objects in different images is a critical problem in computer vision …”
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Learning Graph Matching von Caetano, T.S., McAuley, J.J., Li Cheng, Le, Q.V., Smola, A.J.

“… As a fundamental problem in pattern recognition, graph matching has applications in a variety of fields, from computer vision to computational biology …”
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Solving Pseudomonotone Variational Inequalities and Pseudoconvex Optimization Problems Using the Projection Neural Network von Hu, Xiaolin, Wang, Jun

“… In recent years, a recurrent neural network called projection neural network was proposed for solving monotone variational inequalities and related convex optimization problems …”
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Training a support vector machine in the primal von Chapelle, Olivier

“… Most literature on support vector machines (SVMs) concentrates on the dual optimization problem …”
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Distributed Medical Image Analysis and Diagnosis through Crowd-Sourced Games: A Malaria Case Study von Mavandadi, Sam, Dimitrov, Stoyan, Feng, Steve, Yu, Frank, Sikora, Uzair, Yaglidere, Oguzhan, Padmanabhan, Swati, Nielsen, Karin, Ozcan, Aydogan

“… In this work we investigate whether the innate visual recognition and learning capabilities of untrained humans can be used in conducting reliable microscopic analysis of biomedical samples toward diagnosis …”
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Discrete-Time Neural Network for Fast Solving Large Linear L1 Estimation Problems and Its Application to Image Restoration von Xia, Youshen, Sun, Changyin, Zheng, Wei Xing

“… There is growing interest in solving linear L1 estimation problems for sparsity of the solution and robustness against non-Gaussian noise …”
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A Novel Recurrent Neural Network for Solving Nonlinear Optimization Problems With Inequality Constraints von Xia, Youshen, Feng, Gang, Wang, Jun

“… This paper presents a novel recurrent neural network for solving nonlinear optimization problems with inequality constraints …”
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