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检索条件"机构=Department of Applied Math and Computer Science"
259 条 记 录,以下是151-160 订阅
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Semi-supervised Graph Embedding-based Feature Extraction and Adaptive Kernel-based Classification for computer-aided Detection in CT Colonography
Semi-supervised Graph Embedding-based Feature Extraction and...
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IEEE Nuclear science Symposium and Medical Imaging Conference
作者: Lei Fan Bowen Song Xianfeng Gu Zhengrong Liang Departments of Radiology and Computer Science Stony Brook University Stony Brook NY USA Departments of Radiology and Applied Math and Statistics Stony Brook University Stony Brook NY USA Department of Computer Science Stony Brook University Stony Brook NY USA Departments of Radiology Computer Science and Biomedical Engineering Stony Brook University Stony Brook NY USA
Feature extraction and classification are two important parts in computer-aided detection (CAD) of abnormalities. For feature selection, typically we are interested in determining which, of a large number of potential... 详细信息
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Understanding social behavior evolutions through agent-based modeling
Understanding social behavior evolutions through agent-based...
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IEEE International Conference on Multimedia Computing and Systems (ICMCS)
作者: Mohamed Nemiche Vicent Cavero Rafael Pla Lopez Equipe de recherches Mathématiques appliquées Génie Informatique et Multimédia Ibn Zohr University Agadir Morocco Department of Computer Science University of Valencia Spain Department of Applied Mathematics University of Valencia Spain
Agent-based social simulation as a computational approach to social simulation has been largely used to explore social phenomena. The purpose of this paper is to describe a theoretical model of transmission and evolut... 详细信息
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Natural image denoising: Optimality and inherent bounds
Natural image denoising: Optimality and inherent bounds
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作者: Levin, Anat Nadler, Boaz Department of Computer Science and Applied Math Weizmann Institute of Science Israel
The goal of natural image denoising is to estimate a clean version of a given noisy image, utilizing prior knowledge on the statistics of natural images. The problem has been studied intensively with considerable prog... 详细信息
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Sustaining economic exploitation of complex ecosystems in computational models of coupled human-natural networks  26
Sustaining economic exploitation of complex ecosystems in co...
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26th AAAI Conference on Artificial Intelligence and the 24th Innovative Applications of Artificial Intelligence Conference, AAAI-12 / IAAI-12
作者: Martinez, Neo D. Tonin, Perrine Bauer, Barbara Rael, Rosalyn C. Singh, Rahul Yoon, Sangyuk Yoon, Ilmi Dunne, Jennifer A. Pacific Ecoinformatics and Computational Ecology Lab. 1604 McGee Avenue Berkeley CA United States Center for Applied Math Ecole Polytechnique CNRS Route de Saclay 91128 Palaiseau Cedex France Düsternbrooker Weg 20 D 24105 Kiel Germany Computer Science Department San Francisco State University San Francisco CA United States Santa Fe Institute 1399 Hyde Park Road Santa Fe NM United States
Understanding ecological complexity has stymied scientists for decades. Recent elucidation of the famously coined "devious strategies for stability in enduring natural systems" has opened up a new field of c... 详细信息
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Natural Image Denoising: Optimality and Inherent Bounds
Natural Image Denoising: Optimality and Inherent Bounds
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IEEE Conference on computer Vision and Pattern Recognition
作者: Anat Levin Boaz Nadler Department of Computer Science and Applied Math The Weizmann Institute of Science
The goal of natural image denoising is to estimate a clean version of a given noisy image, utilizing prior knowledge on the statistics of natural images. The problem has been studied intensively with considerable prog... 详细信息
来源: 评论
New construction of ensemble classifiers for imbalanced datasets
New construction of ensemble classifiers for imbalanced data...
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2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2010
作者: Zhai, Yun Yang, Bingru Ma, Nan Ruan, Da School of Information Engineering University of Science and Technology Beijing Beijing China College of Computer Science Liaocheng University Liaocheng China College of Information Beijing Union University Beijing China Department of Applied Math and Computer Science Ghent University Krijgslaan Belgium
Learning in the presence of data imbalances presents a great challenge to machine learning. Imbalanced data sets represent a significant problem because the corresponding classifier has a tendency to ignore samples wh... 详细信息
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Analyzing environmental samples in nuclear safeguards evaluation by a cumulative belief degrees approach  9
Analyzing environmental samples in nuclear safeguards evalua...
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Computational Intelligence Foundations and Applications - 9th International Fuzzy Logic and Intelligent Technologies in Nuclear science Conference, FLINS 2010
作者: Kabak, Özgür Ruan, Da Boeretang 200 Mol2400 Belgium Department of Industrial Engineering Istanbul Technical University Maçka Istanbul34357 Turkey Department of Applied Math. and Computer Science Ghent University Gent9000 Belgium
In this study we apply a cumulative belief degrees approach to an environmental sampling example in nuclear safeguards evaluation. Transformation formulas for each indicator are defined for distinguishing anthropogeni... 详细信息
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Co-clustering of image segments using convex optimization applied to EM neuronal reconstruction
Co-clustering of image segments using convex optimization ap...
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Conference on computer Vision and Pattern Recognition (CVPR)
作者: Shiv N. Vitaladevuni Ronen Basri Howard Hughes Medical Institute USA Department of Computer Science and Applied Math. Weizmann Institute of Science Israel
This paper addresses the problem of jointly clustering two segmentations of closely correlated images. We focus in particular on the application of reconstructing neuronal structures in over-segmented electron microsc... 详细信息
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New Construction of Ensemble Classifiers for Imbalanced Datasets
New Construction of Ensemble Classifiers for Imbalanced Data...
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The 2010 International Conference on Intelligent Systems and Knowledge Engineering(第五届智能系统与知识工程国际会议)
作者: Yun Zhai Bingru Yang Nan Ma Da Ruan School of Information Engineering University of Science and Technology Beijing Beijing China Colle School of Information Engineering University of Science and Technology Beijing Beijing China School of Information Engineering University of Science and Technology Beijing Beijing China Colleg Department of Applied Math and Computer Science Ghent University Krijgslaan Belgium
Learning in the presence of data imbalances presents a great challenge to machine learning. Imbalanced data sets represent a significant problem because the corresponding classifier has a tendency to ignore samples wh... 详细信息
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Counting Homomorphisms to Sparse Graphs
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Electronic Notes in Discrete mathematics 2009年 34卷 393-397页
作者: Nešetřil, Jaroslav de Mendez, Patrice Ossona Department of Applied Mathematics Institute for Theoretical Computer Science Charles University Prague Czech Republic Centre d'Analyse et de Mathématique Sociales C.N.R.S. E.H.E.S.S. Paris France
We define nowhere dense and somewhere dense classes by means of counting of homomorphisms from test graphs. This seems to be bridging the gap between existential and counting theorems (for graph homomorphisms) and it ... 详细信息
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