Suchergebnisse - computer learning and pattern recognition::automated (problem OR problems) solving*

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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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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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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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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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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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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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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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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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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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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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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A Minimum Resource Neural Network Framework for Solving Multiconstraint Shortest Path Problems von Zhang, Junying, Zhao, Xiaoxue, He, Xiaotao

“… ) framework is proposed for solving a wide range of single-source shortest path (SP) problems for various graph types …”
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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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Solving the Assignment Problem Using Continuous-Time and Discrete-Time Improved Dual Networks von Hu, Xiaolin, Wang, Jun

“… ) for solving the assignment problem. Compared with most assignment networks in the literature, the two versions of IDNNs are advantageous in circuit implementation due to their simple structures …”
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Toward the Use of Neural Architecture Search: A Baseline Approach for Solving the Authorship Verification Problem von Salinas, Luis Ignacio Ferro, Castillo, Esteban, Hernández, Víctor Adrián Sosa

“… In this paper, we introduce a baseline approach for solving the authorship verification task by incorporating a straightforward Automated Machine Learning (AutoML …”
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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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ClimateNet: an expert-labeled open dataset and deep learning architecture for enabling high-precision analyses of extreme weather von Kashinath, Karthik, Mudigonda, Mayur, Kim, Sol, Kapp-Schwoerer, Lukas, Graubner, Andre, Karaismailoglu, Ege, von Kleist, Leo, Kurth, Thorsten, Greiner, Annette, Mahesh, Ankur, Yang, Kevin, Lewis, Colby, Chen, Jiayi, Lou, Andrew, Chandran, Sathyavat, Toms, Ben, Chapman, Will, Dagon, Katherine, Shields, Christine A., O'Brien, Travis, Wehner, Michael, Collins, William

“… Given the success of deep learning (DL) in tackling similar problems in computer vision, we advocate a DL-based approach …”
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Weighted Piecewise LDA for Solving the Small Sample Size Problem in Face Verification von Kyperountas, M., Tefas, A., Pitas, I.

“… ) problem, where the lack of sufficient training samples causes improper estimation of a linear separation hyperplane between the classes …”
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Challenges and advanced concepts for the assessment of learning and memory function in mice von Lang, Benjamin, Kahnau, Pia, Hohlbaum, Katharina, Mieske, Paul, Andresen, Niek P., Boon, Marcus N., Thöne-Reineke, Christa, Lewejohann, Lars, Diederich, Kai

“… A wide range of protocols has been developed in mice to test, e.g., object recognition, spatial learning, procedural memory, sequential problem …”
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