標題: Titlebook: Machine Learning and Data Mining in Pattern Recognition; First International Petra Perner,Maria Petrou Conference proceedings 1999 Springe [打印本頁] 作者: ODE 時間: 2025-3-21 16:53
書目名稱Machine Learning and Data Mining in Pattern Recognition影響因子(影響力)
書目名稱Machine Learning and Data Mining in Pattern Recognition影響因子(影響力)學科排名
書目名稱Machine Learning and Data Mining in Pattern Recognition網絡公開度
書目名稱Machine Learning and Data Mining in Pattern Recognition網絡公開度學科排名
書目名稱Machine Learning and Data Mining in Pattern Recognition被引頻次
書目名稱Machine Learning and Data Mining in Pattern Recognition被引頻次學科排名
書目名稱Machine Learning and Data Mining in Pattern Recognition年度引用
書目名稱Machine Learning and Data Mining in Pattern Recognition年度引用學科排名
書目名稱Machine Learning and Data Mining in Pattern Recognition讀者反饋
書目名稱Machine Learning and Data Mining in Pattern Recognition讀者反饋學科排名
作者: 災難 時間: 2025-3-21 20:33 作者: Indict 時間: 2025-3-22 01:10
A Comparison between Neural Networks and Decision Treeson method. However, the error rate can not be the only criteria for the comparison between the different learning methods. It is a more complex selection process that involves more criteria’s that we describe in the paper.作者: minion 時間: 2025-3-22 06:06
Conference proceedings 1999ical image analysis. Many databases are developed that contain multimedia sources such as images, measurement protocols, and text documents. Such systems should be able to retrieve these sources by content. That requires specific retrieval and indexing strategies for images and signals. Higher quali作者: Musket 時間: 2025-3-22 11:46 作者: 歡笑 時間: 2025-3-22 16:49 作者: Kernel 時間: 2025-3-22 21:07
Mariofanna Milanova,Paulo E. M. Almeida,Jun Okamoto Jr.,Marcelo Godoy Sim?es作者: FLAT 時間: 2025-3-23 00:18
M. Reczko,D. A. Karras,V. Mertzios,D. Graveron-Demilly,D. van Ormondt作者: Mri485 時間: 2025-3-23 01:41
Oronzo Altamura,Floriana Esposito,Francesca A. Lisi,Donato Malerba作者: inflame 時間: 2025-3-23 08:55
Conference proceedings 1999c pattern recognition systems have proven successful in many applications. The wide use of these systems depends on their ability to adapt to changing environmental conditions and to deal with new objects. This requires learning capabilities on the parts of these systems. The exceptional attraction 作者: GLUT 時間: 2025-3-23 10:10 作者: 逃避責任 時間: 2025-3-23 13:51
Advances in Predictive Data Mining Methodsuss some theoretical developments in PAC learning and statistical learning theory leading to the emergence of support vector machines. We then examine some technical advances made in enhancing the performance of the models both in accuracy (boosting, bagging, stacking) and scalability of modeling through distributed model generation.作者: Diverticulitis 時間: 2025-3-23 21:56
A Dynamics of the Hough Transform and Artificial Neural Networksection by the Hough transform, which achieves grouping of sample points as the permutation of data sequence. The theoretical analysis in this paper verifies the reliability of the Hough- transform based template matching for the detection of shapes from a scene.作者: 走路左晃右晃 時間: 2025-3-24 01:26 作者: Yourself 時間: 2025-3-24 05:58 作者: 原諒 時間: 2025-3-24 07:28 作者: cipher 時間: 2025-3-24 13:48
Generalised Fuzzy Aggregation Operatorslues in a range [0,w], with . ≠ 1. Then the need arises for the generalization of the aggregetion operators to cope with such membership functions. In this paper we examine the properties of such generalised operators, that make them appropriate for use in Fuzzy reasoning.作者: heterogeneous 時間: 2025-3-24 17:49
Multi-valued and Universal Binary Neurons: Learning Algorithms, Application to Image Processing and applications of the MVN and UBN is their usage as basic neurons in the Cellular Neural Networks (CNN) for solution of the image processing and image analysis problems. Another effective application of the MVN is their use as the basic neurons in the neural networks oriented to the image recognition.作者: antidepressant 時間: 2025-3-24 20:32
Applications of Cellular Neural Networks for Shape from Shading Problem. The focus of this paper is to present one new methodology to solve Shape from Shading problem using CNN. Some practical results are presented and briefly discussed, demonstrating the successful operation of the proposed algorithm.作者: 動機 時間: 2025-3-25 02:42 作者: innate 時間: 2025-3-25 04:04 作者: 記憶 時間: 2025-3-25 10:03
Automatic Design of Multiple Classifier Systems by Unsupervised Learningoach is aimed to identify the largest subset of “independent” classifiers. A proof of the optimality of the proposed approach is given. Reported results on the classification of remote sensing images show that this approach allows one to design effective multiple classifier systems.作者: Cumbersome 時間: 2025-3-25 13:11 作者: Anguish 時間: 2025-3-25 18:07 作者: 清澈 時間: 2025-3-25 20:26 作者: ensemble 時間: 2025-3-26 03:30 作者: 音樂學者 時間: 2025-3-26 07:12
Applications of Cellular Neural Networks for Shape from Shading Problemlog programmable multidimensional processor array with distributed local logic and memory. One desirable feature is that these processors are arranged in a two dimensional grid and have only local connections. This structure can be easily translated into a VLSI implementation, where the connections 作者: notification 時間: 2025-3-26 11:57 作者: 和藹 時間: 2025-3-26 14:01 作者: 禮節(jié) 時間: 2025-3-26 17:23 作者: 全等 時間: 2025-3-27 00:44
Independent Feature Analysis for Image Retrievallevance of features in computing the similarity between images in the input feature space. We propose a learning method that attempts to overcome this limitation by capturing local differential relevance of features based on user feedback. This feedback, in the form of accept or reject examples gene作者: reflection 時間: 2025-3-27 01:56
Non-hierarchical Clustering with Rival Penalized Competitive Learning for Information Retrievalres. While indexing techniques for text retrieval are well understood, efficient and robust indexing methodology for image retrieval is still in its infancy. In this paper, we present a non-hierarchical clustering scheme for index generation using the . (RPCL) algorithm. RPCL is a stochastic heurist作者: LIMIT 時間: 2025-3-27 05:17 作者: 包庇 時間: 2025-3-27 10:34 作者: BULLY 時間: 2025-3-27 17:32 作者: invert 時間: 2025-3-27 21:02 作者: fulmination 時間: 2025-3-27 23:22
Reproductive Process-Oriented Data Mining from Interactions between Human and Complex Artifact Systestructure by observing interactions between user and system. Current hot topics on techniques of data mining may potentially contribute to the above purpose, but different from the conventional approaches of data mining, we have to consider more about the aspects in which how the mined knowledge sho作者: 合并 時間: 2025-3-28 05:42
Generalised Fuzzy Aggregation Operatorsmake an inference. In the proposed scheme a Fuzzy reasoning system includes a training stage during which the most appropriate aggregation operators are selected. To allow for different importance to be given to different pieces of evidence, the Fuzzy membership functions used are allowed to take va作者: Esophagitis 時間: 2025-3-28 09:47 作者: 鑲嵌細工 時間: 2025-3-28 13:42 作者: cochlea 時間: 2025-3-28 14:58 作者: 裂口 時間: 2025-3-28 20:35 作者: Flounder 時間: 2025-3-29 02:33 作者: Fortify 時間: 2025-3-29 04:20
Unsupervised Learning of Local Mean Gray Values for Image Pre-processingtrast to older work of the author which has used 4-connectivity of processing elements (neurons) leading to a very big number of recursions now each neuron of network layer t+1 is connected with (2M+1)?(2M+1) neurons of layer t guaranteeing a significant reduction of network layers with the same good smoothing results.作者: 易碎 時間: 2025-3-29 07:24 作者: CALL 時間: 2025-3-29 14:48
https://doi.org/10.1007/3-540-48097-8Data Mining; Image Processing; Intelligent Data Analysis; Pattern Recognition; classification; learning; m作者: 放肆的你 時間: 2025-3-29 18:39 作者: 發(fā)炎 時間: 2025-3-29 22:40
9樓作者: Mast-Cell 時間: 2025-3-30 01:20
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