書目名稱Artificial Neural Networks in Pattern Recognition影響因子(影響力)學(xué)科排名
書目名稱Artificial Neural Networks in Pattern Recognition網(wǎng)絡(luò)公開(kāi)度
書目名稱Artificial Neural Networks in Pattern Recognition網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
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: SNEER 時(shí)間: 2025-3-21 21:43
https://doi.org/10.1007/978-3-663-04838-1 were used to evaluate hidden Markov models. The best single model with features of principal component analysis in the region face achieved a detection rate of 76.4?%. To improve these results further, two different fusion approaches were evaluated. Thus, the best fusion detection rate in this study was 86.1?%.作者: Incorporate 時(shí)間: 2025-3-22 01:31
A New Monte Carlo-Based Error Rate Estimatoring process that generates the data and exploits these models in a Monte Carlo style to provide two biased estimators whose best combination is determined by an iterative solution. We test our estimator against state of the art estimators and show that it provides a reliable estimate in terms of mean-square-error.作者: MELON 時(shí)間: 2025-3-22 05:53 作者: Eructation 時(shí)間: 2025-3-22 10:47
Sur le théorème de préparation de Weierstra?nto the online-learning rules. We provide the mathematical foundation of the respective framework. This framework includes usual gradient descent learning of prototypes as well as parameter optimization and relevance learning for improvement of the performance.作者: aerobic 時(shí)間: 2025-3-22 13:06
https://doi.org/10.1007/978-3-663-04838-1detection of three areas in the image corresponding roughly to left and right eyes and mouths. Then, three local networks localize, in these areas, 9 key points per eye and 10 key points on the mouth. Thorough experiments on 3500 images from standard databases (Feret, BioID) show the detector accuracy, its generalization ability and speed.作者: 合同 時(shí)間: 2025-3-22 17:03 作者: Folklore 時(shí)間: 2025-3-23 00:24 作者: definition 時(shí)間: 2025-3-23 03:18
Correlation-Based and Causal Feature Selection Analysis for Ensemble Classifiersm can eliminate more redundant and irrelevant features, provides slightly better accuracy and less complexity than causal feature selection. Ensemble using Bagging algorithm can improve accuracy in both correlation-based and causal feature selection.作者: 連鎖,連串 時(shí)間: 2025-3-23 08:05 作者: 菊花 時(shí)間: 2025-3-23 11:46
Parallelized Kernel Patch Clusteringnly emphasize on Kernel Fuzzy C-Means and Relational Neural Gas. We show that the computation time of this algorithm is basicly linear, i.e. .(.). Further we statistically evaluate the performance of this meta-algorithm on a real-life dataset, namely the Enron Emails.作者: fiction 時(shí)間: 2025-3-23 15:52
A Novel Word Spotting Algorithm Using Bidirectional Long Short-Term Memory Neural Networksn of the CTC Token Passing algorithm. We demonstrate that such a system has the potential for high performance. For example, a precision of 95% at 50% recall is reached for the 4,000 most frequent words on the IAM offline handwriting database.作者: 繞著哥哥問(wèn) 時(shí)間: 2025-3-23 20:59
Bayesian Learning of Generalized Gaussian Mixture Models on Biomedical Images both contain non-Gaussian characteristics, impossible to model using rigid distributions like the Gaussian. Generalized Gaussian mixture models are robust in the presence of noise and outliers and are more flexible to adapt the shape of data.作者: AWRY 時(shí)間: 2025-3-24 01:58 作者: Entirety 時(shí)間: 2025-3-24 05:04
Karl Weierstra? und seine Schule exists. In this paper, we show that these ingredients can be used to embed dynamic textures in low dimensional spaces such that, together with a traversing technique in the low dimensional representation, efficient dynamic texture synthesis can be?obtained.作者: Dissonance 時(shí)間: 2025-3-24 10:14 作者: Nucleate 時(shí)間: 2025-3-24 12:05 作者: 沖擊力 時(shí)間: 2025-3-24 16:01
Gegenstand und Zweck des Berichtes, both contain non-Gaussian characteristics, impossible to model using rigid distributions like the Gaussian. Generalized Gaussian mixture models are robust in the presence of noise and outliers and are more flexible to adapt the shape of data.作者: ETHER 時(shí)間: 2025-3-24 20:27
https://doi.org/10.1007/978-3-663-15998-8ments using benchmark datasets, we show that the KDA criterion has performance comparable with that of the selection criterion based on the SVM-based recognition rate with cross-validation and can reduce computational cost. We also show that the KDA criterion can terminate feature selection stably using cross-validation as a stopping condition.作者: COMMA 時(shí)間: 2025-3-25 02:41 作者: 作繭自縛 時(shí)間: 2025-3-25 04:52 作者: antecedence 時(shí)間: 2025-3-25 10:24
https://doi.org/10.1007/978-3-662-33000-5alues of intensity and employing top-down hierarchical rule-based classifiers, we can develop accurate human-interpretable AU-to-expression converters. Extensive experiments on Cohn-Kanade database show the superiority of the proposed method, in comparison with support vector machines, hidden Markov models, and neural network classifiers.作者: Rheumatologist 時(shí)間: 2025-3-25 14:50 作者: Dungeon 時(shí)間: 2025-3-25 17:22
Ergebnisse der Tunneluntersuchungen,novel feature weighting scheme is also presented by employing Particle Swarm Optimization (PSO) for the weights calculation. The new method, called PSOFLDA, is tested on real MES datasets and compared with other techniques to prove its superiority.作者: Subjugate 時(shí)間: 2025-3-25 21:26
Evaluation of Feature Selection by Multiclass Kernel Discriminant Analysisments using benchmark datasets, we show that the KDA criterion has performance comparable with that of the selection criterion based on the SVM-based recognition rate with cross-validation and can reduce computational cost. We also show that the KDA criterion can terminate feature selection stably using cross-validation as a stopping condition.作者: 盡責(zé) 時(shí)間: 2025-3-26 00:08 作者: Armada 時(shí)間: 2025-3-26 05:37 作者: BOGUS 時(shí)間: 2025-3-26 10:37 作者: myelography 時(shí)間: 2025-3-26 15:54 作者: 外向者 時(shí)間: 2025-3-26 18:56 作者: 單純 時(shí)間: 2025-3-26 22:14
Artificial Neural Networks in Pattern Recognition978-3-642-12159-3Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 職業(yè) 時(shí)間: 2025-3-27 03:11
0302-9743 Overview: Fast track conference proceeding.Unique visibility.State of the art research978-3-642-12158-6978-3-642-12159-3Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 警告 時(shí)間: 2025-3-27 08:31 作者: Impugn 時(shí)間: 2025-3-27 10:01
978-3-642-12158-6Springer-Verlag GmbH Germany, part of Springer Nature 2010作者: 正式通知 時(shí)間: 2025-3-27 15:11 作者: 鞏固 時(shí)間: 2025-3-27 17:56
https://doi.org/10.1007/978-3-663-15998-8s the number of classes minus one eigenvectors. The selection criterion is the sum of the objective function of KDA, namely the sum of eigenvalues associated with the eigenvectors. In addition to the KDA criterion, we propose a new selection criterion that replaces the between-class scatter in KDA w作者: conceal 時(shí)間: 2025-3-27 22:14
,Hermann Gra?manns Ausdehnungslehre,a mining systems. This paper presents a comparison analysis between correlation-based and causal feature selection for ensemble classifiers. MLP and SVM are used as base classifier and compared with Naive Bayes and Decision Tree. According to the results, correlation-based feature selection algorith作者: Charlatan 時(shí)間: 2025-3-28 05:54 作者: 和音 時(shí)間: 2025-3-28 09:30
,über den Gauss-Bonnetschen Satz,equences of structured data, i.e. sequences of graphs, in a natural way. This paper presents a novel machine that can learn and carry out decision-making over sequences of graphical data. The machine involves a hidden Markov model whose state-emission probabilities are defined over graphs. This is r作者: 柔美流暢 時(shí)間: 2025-3-28 12:11 作者: DAUNT 時(shí)間: 2025-3-28 14:44
Aus dem Briefwechsel von G. Mittag-Leffleris much lower than its dimensionality. The problem of classification in this setting is intensified in the presence of noise. Eleven linear classifiers were compared on two-thousand-one-hundred-and-fifty artificial datasets from four different experimental setups, and five real world gene expression作者: Hla461 時(shí)間: 2025-3-28 18:59
Karl Weierstra? und seine Schuleal principal components in a smooth way. The additional information provided by local principal directions can directly be combined with charting techniques such that a nonlinear embedding of a data manifold into low dimensions results for which an explicit function as well as an approximate inverse作者: archaeology 時(shí)間: 2025-3-29 02:32
Sur le théorème de préparation de Weierstra?ons to generate continuous flows of data. This increases the need to develop algorithms that are able to efficiently process data streams. Additionaly, real-time requirements and evolving nature of data streams make stream mining problems, including clustering, challenging research problems. Fuzzy s作者: wangle 時(shí)間: 2025-3-29 05:47
Sur le théorème de préparation de Weierstra?uared Euclidean distance. The approach is based on the determination of the Fréchet-derivatives for the divergences, wich can be immediately plugged into the online-learning rules. We provide the mathematical foundation of the respective framework. This framework includes usual gradient descent lear作者: acclimate 時(shí)間: 2025-3-29 11:19
https://doi.org/10.1007/978-3-663-04837-4umber of samples. Therefore these methods are generally ineligible for large datasets. In this paper we propose a meta-algorithm that performs parallelized clusterings of subsets of the samples and merges them repeatedly. The algorithm is able to use many Kernel based clustering methods where we mai作者: NIP 時(shí)間: 2025-3-29 12:21
https://doi.org/10.1007/978-3-663-04838-1 Viola & Jones state of art algorithm. Then, a cascade of neural networks localizes precisely 28 facial features. The first network performs a coarse detection of three areas in the image corresponding roughly to left and right eyes and mouths. Then, three local networks localize, in these areas, 9 作者: 撫慰 時(shí)間: 2025-3-29 17:14
https://doi.org/10.1007/978-3-663-04838-1kov models for emotion recognition in image sequences is investigated, i.e. the temporal aspects of facial expressions. The underlying image sequences were taken from the Cohn-Kanade database. Three different features (principal component analysis, orientation histograms and optical flow estimation)作者: flavonoids 時(shí)間: 2025-3-29 21:57 作者: placebo 時(shí)間: 2025-3-30 02:42
https://doi.org/10.1007/978-3-662-33000-5ysts: ., and .. Combination of histogram moments and Gray Level Co-Occurrence Matrix (GLCM) based statistical texture descriptors has been proposed as the features for retrieving and classifying ultrasound images. To retrieve images, relevance between the query image and the target images has been m作者: garrulous 時(shí)間: 2025-3-30 04:52
Gegenstand und Zweck des Berichtes,ystem for handwritten documents is described. It is derived from a neural network based system for unconstrained handwriting recognition. As such it performs template-free spotting, i.e. it is not necessary for a keyword to appear in the training set. The keyword spotting is done using a modificatio作者: 六個(gè)才偏離 時(shí)間: 2025-3-30 10:53 作者: 污穢 時(shí)間: 2025-3-30 13:20 作者: Dignant 時(shí)間: 2025-3-30 17:38
Friedhelm Schwenker,Neamat GayarFast track conference proceeding.Unique visibility.State of the art research作者: 溝通 時(shí)間: 2025-3-30 23:46 作者: 令人不快 時(shí)間: 2025-3-31 01:23 作者: 定點(diǎn) 時(shí)間: 2025-3-31 05:51
Cluster Analysis of Cortical Pyramidal Neurons Using SOMA cluster analysis using SOM has been performed on morphological data derived from pyramidal neurons of the somatosensory cortex of normal and transgenic mice.作者: 一再遛 時(shí)間: 2025-3-31 11:53 作者: monogamy 時(shí)間: 2025-3-31 16:14 作者: 使長(zhǎng)胖 時(shí)間: 2025-3-31 20:59
SIC-Means: A Semi-fuzzy Approach for Clustering Data Streams Using C-Meansng results to the allowed fuzziness level and the size of data history used. This study has shown that different datasets behave differently with changing these factors. Dataset behavior is correlated with the separation between clusters of the dataset.作者: blister 時(shí)間: 2025-4-1 00:31
https://doi.org/10.1007/978-3-662-25786-9osen value of . for a given testing sample is influenced by the . values of its surrounding training samples as well as the most successful . value of all training samples. Comparison with a number of well-known classification methods proved the potential of the proposed method.作者: 群居男女 時(shí)間: 2025-4-1 03:15
Max Born,Peter Brix,Rolf Nevanlinnaabilities in order to carry out emotion classification within a Bayesian setup. Preliminary experiments in emotion recognition from speech signals from the WaSeP? dataset show that the proposed approach is effective, and it may outperform state-of-the-art classifiers.作者: Palpitation 時(shí)間: 2025-4-1 07:01
Sur le théorème de préparation de Weierstra?ng results to the allowed fuzziness level and the size of data history used. This study has shown that different datasets behave differently with changing these factors. Dataset behavior is correlated with the separation between clusters of the dataset.作者: META 時(shí)間: 2025-4-1 10:59
