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標(biāo)題: Titlebook: Artificial Neural Networks in Pattern Recognition; 5th INNS IAPR TC 3 G Nadia Mana,Friedhelm Schwenker,Edmondo Trentin Conference proceedin [打印本頁]

作者: 有作用    時間: 2025-3-21 17:28
書目名稱Artificial Neural Networks in Pattern Recognition影響因子(影響力)




書目名稱Artificial Neural Networks in Pattern Recognition影響因子(影響力)學(xué)科排名




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書目名稱Artificial Neural Networks in Pattern Recognition被引頻次




書目名稱Artificial Neural Networks in Pattern Recognition被引頻次學(xué)科排名




書目名稱Artificial Neural Networks in Pattern Recognition年度引用




書目名稱Artificial Neural Networks in Pattern Recognition年度引用學(xué)科排名




書目名稱Artificial Neural Networks in Pattern Recognition讀者反饋




書目名稱Artificial Neural Networks in Pattern Recognition讀者反饋學(xué)科排名





作者: 易受刺激    時間: 2025-3-21 21:11
Kernel Robust Soft Learning Vector Quantizationability of the model complexity. Recent prototype-based models such as robust soft learning vector quantization (RSLVQ) have the benefit of a solid mathematical foundation of the learning rule and decision boundaries in terms of probabilistic models and corresponding likelihood optimization. In its
作者: Ingredient    時間: 2025-3-22 01:26

作者: Intractable    時間: 2025-3-22 06:07
Representative Prototype Sets for Data Characterization and Classificationiers do not allow for drawing conclusions on the structure and quality of the underlying training data. By keeping the classifier model simple, an intuitive interpretation of the model and the corresponding training data is possible. A lack of accuracy of such simple models can be compensated by acc
作者: AWL    時間: 2025-3-22 11:12
Feature Selection by Block Addition and Block Deletionn this paper, we extend these methods to feature selection. To avoid random tie breaking for a small sample size problem with a large number of features, we introduce the weighted sum of the recognition error rate and the average of margin errors as the feature selection and feature ranking criteria
作者: Genteel    時間: 2025-3-22 14:28
Gradient Algorithms for Exploration/Exploitation Trade-Offs: Global and Local Variantsces. Global and local variants are evaluated in discrete and continuous state spaces. The global variant is memory efficient in terms of requiring exploratory data only for starting states. In contrast, the local variant requires exploratory data for each state of the state space, but produces explo
作者: 調(diào)整校對    時間: 2025-3-22 19:32
Towards a Novel Probabilistic Graphical Model of Sequential Data: Fundamental Notions and a Solution Random Fields (MRFs) in terms of computational efficiency and modeling capabilities (namely, HRFs subsume BNs and MRFs). As in traditional graphical models, HRFs express a joint distribution over a fixed collection of random variables. This paper introduces the major definitions of a proper dynamic
作者: poliosis    時間: 2025-3-22 23:09

作者: 值得贊賞    時間: 2025-3-23 03:27
Statistical Recognition of a Set of Patterns Using Novel Probability Neural Networkir equivalence to the optimal Bayesian decision of classification task. However, it is known that the PNN’s conventional implementation is not optimal in statistical recognition of a set of patterns. In this article we present the novel modification of the PNN and prove that it is optimal in this ta
作者: Transfusion    時間: 2025-3-23 06:09
On Graph-Associated Matrices and Their Eigenvalues for Optical Character Recognitionptical character recognition. The extracted eigenvalues were utilized as feature vectors for multi-class classification using support vector machines. Each graph-associated matrix contains a certain type of geometric/spacial information, which may be important for the classification process. Classif
作者: Toxoid-Vaccines    時間: 2025-3-23 13:43

作者: MIME    時間: 2025-3-23 15:19
Robustness of a CAD System on Digitized Mammograms consistent performance over time and in various clinical situations. Our CAD system is based on the extraction of features from the mammographic image by means of Independent Component Analysis, and machine learning classifiers, such as Neural Networks and Support Vector Machine. To measure the rob
作者: acrobat    時間: 2025-3-23 18:49
Facial Expression Recognition Using Game Theoryxpression recognition. In this paper, we propose a new lip boundary localization scheme based on Game Theory (GT) to improve the facial expression detection performance. In addition, we use GT for selecting the proper set of facial features. We apply the Extended Contribution-Selection Algorithm (EC
作者: 強(qiáng)所    時間: 2025-3-23 23:29

作者: 遺傳    時間: 2025-3-24 04:14
A Decision Support System for the Prediction of the Trabecular Fracture Zoneurs in local bands, the so called ‘fracture zones’, with the remaining regions of the structure largely unaffected has been visually verified. Researchers agreed that the identification of the weakest link in the trabecular framework can lead to the prediction of the fracture zone and consequently o
作者: 脆弱吧    時間: 2025-3-24 07:36
Teeth/Palate and Interdental Segmentation Using Artificial Neural Networksand interdental segmentation in palatal view photographs of the upper jaw. We segment the images into teeth and non-teeth regions. We find the palatal arch by adjusting a curve to the teeth region, and further segment teeth from each other. Best results to detect and segment teeth were obtained with
作者: 吹牛大王    時間: 2025-3-24 13:39
On Instance Selection in Audio Based Emotion Recognition emotional status of the user based on facial expressions or speech is important to model user as complete as possible in order to develop human-computer interfaces that are able to respond to the user’s action or behavior in an appropriate manner. In this paper we focus on audio-based emotion recog
作者: Alcove    時間: 2025-3-24 16:06

作者: 雜役    時間: 2025-3-24 22:05
Using Self Organizing Maps to Analyze Demographics and Swing State Voting in the 2008 U.S. Presidentdemographic data from the 2010 United States census. The counties in these clusters are then analyzed for how they voted in the 2008 U.S. Presidential election, and political strategies are discussed that target demographically similar geographical regions based on ESOM results. The ESOM and .-means
作者: 荒唐    時間: 2025-3-25 02:10

作者: 鑒賞家    時間: 2025-3-25 05:46

作者: Systemic    時間: 2025-3-25 09:54
Artificial Neural Networks in Pattern Recognition978-3-642-33212-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
作者: 背心    時間: 2025-3-25 12:10

作者: Genistein    時間: 2025-3-25 16:45

作者: vitrectomy    時間: 2025-3-25 22:22
Herbert Birkhofer,Timo Kümmerleing tool. Hence, the final result of training is severely influenced by the choice of the dissimilarity measure. While dissimilarity measures for supervised settings can eventually be compared by the classification error, the situation is less clear in unsupervised domains where a clear objective is
作者: 恭維    時間: 2025-3-26 02:38

作者: ANA    時間: 2025-3-26 07:56
,Pfingsten – das Symbolfest der Taube,ing is mainly unsupervised and once training is completed the network structure is frozen, thus making further training quite critical. In this paper we develop a novel technique for HTM (incremental) supervised learning based on error minimization. We prove that error backpropagation can be natural
作者: Obstacle    時間: 2025-3-26 11:29

作者: entice    時間: 2025-3-26 14:17
https://doi.org/10.1007/978-3-322-82584-1n this paper, we extend these methods to feature selection. To avoid random tie breaking for a small sample size problem with a large number of features, we introduce the weighted sum of the recognition error rate and the average of margin errors as the feature selection and feature ranking criteria
作者: gustation    時間: 2025-3-26 19:27

作者: aplomb    時間: 2025-3-26 21:13

作者: 小畫像    時間: 2025-3-27 02:47

作者: conceal    時間: 2025-3-27 06:24

作者: enumaerate    時間: 2025-3-27 12:45
Permissive and Provocative Factors in FAS,ptical character recognition. The extracted eigenvalues were utilized as feature vectors for multi-class classification using support vector machines. Each graph-associated matrix contains a certain type of geometric/spacial information, which may be important for the classification process. Classif
作者: Feckless    時間: 2025-3-27 14:40
Fetal Alcohol Spectrum Disorderolar new target vectors (OBVs) for biometric pattern recognition. The experimental analysis consisted of using biometric patterns from CASIA Iris Image Database developed by Chinese Academy of Sciences - Institute of Automation. The experiments were performed in order to obtain the best recognition
作者: STRIA    時間: 2025-3-27 21:22
Olena Kloss,Lidia Sharova,Miyoung Suh consistent performance over time and in various clinical situations. Our CAD system is based on the extraction of features from the mammographic image by means of Independent Component Analysis, and machine learning classifiers, such as Neural Networks and Support Vector Machine. To measure the rob
作者: 防水    時間: 2025-3-27 22:54
Fetal Alcohol Spectrum Disorderxpression recognition. In this paper, we propose a new lip boundary localization scheme based on Game Theory (GT) to improve the facial expression detection performance. In addition, we use GT for selecting the proper set of facial features. We apply the Extended Contribution-Selection Algorithm (EC
作者: 狼群    時間: 2025-3-28 02:05
Katherine N. DeJong,Jamie O. Loied by the MNOD, a set of segments are generated using a . based algorithm with different seeds configurations. These segments are classified by a suitable neural model and then the one with higher value is chosen, in agreement with a proper energy function. The proposed method allows to segment and
作者: 咆哮    時間: 2025-3-28 09:54
Educating School-Aged Children with FASD,urs in local bands, the so called ‘fracture zones’, with the remaining regions of the structure largely unaffected has been visually verified. Researchers agreed that the identification of the weakest link in the trabecular framework can lead to the prediction of the fracture zone and consequently o
作者: 燦爛    時間: 2025-3-28 11:44

作者: peritonitis    時間: 2025-3-28 18:30

作者: 對手    時間: 2025-3-28 19:22
https://doi.org/10.1007/978-3-319-20866-4c signs in European countries share many similarities but also vary in colour, size, and depicted symbols, making it hard to obtain one general classifier with good performance in all countries. Training separate classifiers for each country requires huge amounts of labelled training data. A well-tr
作者: 來自于    時間: 2025-3-28 23:03
Teri Tibbett,Michael I. Jefferydemographic data from the 2010 United States census. The counties in these clusters are then analyzed for how they voted in the 2008 U.S. Presidential election, and political strategies are discussed that target demographically similar geographical regions based on ESOM results. The ESOM and .-means
作者: Cupidity    時間: 2025-3-29 05:50

作者: 類人猿    時間: 2025-3-29 09:33
Permissive and Provocative Factors in FAS, of 89.9?%. Here, almost half of the misclassified letters are confusion pairs, such as .-. and .-.. This classification performance can be increased by decision fusion, using the sum rule, to 92.4?%.
作者: obscurity    時間: 2025-3-29 13:41
https://doi.org/10.1007/978-3-319-20866-4ome ineffective or even fail completely due to the occurrence of incorrectly labelled samples. To assure that self-training classifiers adapt themself correctly, advanced multi-classifier training methods like co-training are applied.
作者: 精美食品    時間: 2025-3-29 19:31

作者: Glycogen    時間: 2025-3-29 22:41

作者: HALL    時間: 2025-3-30 02:44
Traffic Sign Classifier Adaption by Semi-supervised Co-trainingome ineffective or even fail completely due to the occurrence of incorrectly labelled samples. To assure that self-training classifiers adapt themself correctly, advanced multi-classifier training methods like co-training are applied.
作者: 彈藥    時間: 2025-3-30 05:59

作者: 煩憂    時間: 2025-3-30 12:07

作者: 向外    時間: 2025-3-30 13:23

作者: 宮殿般    時間: 2025-3-30 19:36
Teri Tibbett,Michael I. Jeffery election, and political strategies are discussed that target demographically similar geographical regions based on ESOM results. The ESOM and .-means clusterings are compared and found to be dissimilar by the variation of information distance function.
作者: 商業(yè)上    時間: 2025-3-30 22:56
Towards a Novel Probabilistic Graphical Model of Sequential Data: A Solution to the Problem of Struc sequence of patterns. Complexity issues are tackled by means of adequate strategies from classic literature on probabilistic graphical models. A preliminary empirical evaluation is presented eventually.
作者: 凹槽    時間: 2025-3-31 04:28

作者: 繞著哥哥問    時間: 2025-3-31 07:20
Using Self Organizing Maps to Analyze Demographics and Swing State Voting in the 2008 U.S. President election, and political strategies are discussed that target demographically similar geographical regions based on ESOM results. The ESOM and .-means clusterings are compared and found to be dissimilar by the variation of information distance function.
作者: 撫慰    時間: 2025-3-31 09:15
Herbert Birkhofer,Timo Kümmerlesed for any positive semidefinite data matrix. We demonstrate the superior performance of the technique, kernel RSLVQ, in a variety of benchmarks where results competitive or even superior to state-of-the-art support vector machines are obtained.
作者: etiquette    時間: 2025-3-31 17:17
Ertrag und Risiko einzelner Papiere,er Markov assumptions. Suitable maximum pseudo-likelihood algorithms for learning the parameters of the model from data are then developed. The resulting learning machine is expected to fit scenarios whose nature involves discovering the stochastic (in)dependencies amongst the random variables, and the corresponding variations over time.
作者: Maximizer    時間: 2025-3-31 19:31





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