標(biāo)題: Titlebook: Structural, Syntactic, and Statistical Pattern Recognition; Joint IAPR Internati Antonio Robles-Kelly,Marco Loog,Richard Wilson Conference [打印本頁] 作者: 自治 時(shí)間: 2025-3-21 19:34
書目名稱Structural, Syntactic, and Statistical Pattern Recognition影響因子(影響力)
書目名稱Structural, Syntactic, and Statistical Pattern Recognition影響因子(影響力)學(xué)科排名
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書目名稱Structural, Syntactic, and Statistical Pattern Recognition網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Structural, Syntactic, and Statistical Pattern Recognition被引頻次
書目名稱Structural, Syntactic, and Statistical Pattern Recognition被引頻次學(xué)科排名
書目名稱Structural, Syntactic, and Statistical Pattern Recognition年度引用
書目名稱Structural, Syntactic, and Statistical Pattern Recognition年度引用學(xué)科排名
書目名稱Structural, Syntactic, and Statistical Pattern Recognition讀者反饋
書目名稱Structural, Syntactic, and Statistical Pattern Recognition讀者反饋學(xué)科排名
作者: COM 時(shí)間: 2025-3-21 22:29 作者: GAVEL 時(shí)間: 2025-3-22 00:30 作者: 釋放 時(shí)間: 2025-3-22 04:52
GriMa: A Grid Mining Algorithm for Bag-of-Grid-Based Classificationuld be beneficial to obtain more discriminative features. Experiments on different datasets show that our algorithm is efficient and that adding the structure may greatly help the image classification process.作者: 煩擾 時(shí)間: 2025-3-22 09:03 作者: dearth 時(shí)間: 2025-3-22 13:48
Correlation Network Evolution Using Mean Reversion Autoregressionobtain a more meaningful mean reversion term. We show experimentally that the dynamic network model can be used to recover detailed statistical properties of the original network data. More importantly, it also suggests that the model is effective in analyzing the predictability of stock correlation networks.作者: 發(fā)電機(jī) 時(shí)間: 2025-3-22 18:07 作者: slow-wave-sleep 時(shí)間: 2025-3-22 21:17 作者: dendrites 時(shí)間: 2025-3-23 03:10 作者: Hiatal-Hernia 時(shí)間: 2025-3-23 05:46 作者: 暫時(shí)別動 時(shí)間: 2025-3-23 09:43
Simultaneous Nonlinear Label-Instance Embedding for Multi-label Classificationmbeds both instances and labels into the same space, reflecting label-instance relationship, label-label relationship and instance-instance relationship as faithfully as possible, simultaneously. Such an embedding into two-dimensional space is useful for simultaneous visualization of instances and l作者: Minuet 時(shí)間: 2025-3-23 14:50 作者: monogamy 時(shí)間: 2025-3-23 19:49
Mathematical Aspects of Tensor Subspace Methodlgebra for numerical analysis, respectively. Organs, cells and microstructures in cells dealt with in biomedical image analysis are volumetric data. We are required to process and analyse these data as volumetric data without embedding vector space from the viewpoints of object oriented data analysi作者: 過于光澤 時(shí)間: 2025-3-24 01:30 作者: Encephalitis 時(shí)間: 2025-3-24 04:27 作者: GNAW 時(shí)間: 2025-3-24 09:46 作者: 死亡率 時(shí)間: 2025-3-24 11:53 作者: BARB 時(shí)間: 2025-3-24 17:33
Bilingual Data Selection Using a Continuous Vector-Space Representationle, we present a bilingual data selection method that leverages a continuous vector-space representation of word sequences for selecting the best subset of a bilingual corpus, for the application of training a machine translation system. We compared our proposal with a state-of-the-art data selectio作者: 無瑕疵 時(shí)間: 2025-3-24 19:32 作者: Infusion 時(shí)間: 2025-3-24 23:33
On the Relevance of Local Neighbourhoods for Greedy Graph Edit Distance one of the drawbacks of this particular approximation is its cubic runtime with respect to the number of nodes of the graphs. In fact, this runtime restricts the applicability of bipartite graph matching to graphs of rather small size. Recently, a new approximation for graph edit distance using gre作者: Hyperopia 時(shí)間: 2025-3-25 06:40
GriMa: A Grid Mining Algorithm for Bag-of-Grid-Based Classificationy based on costly isomorphism tests and countless expansion possibilities. In this paper, we explain how to exploit grid-based representations of problems to efficiently extract frequent grid subgraphs and create Bag-of-Grids which can be used as new features for classification purposes. We provide 作者: 虛假 時(shí)間: 2025-3-25 09:25
Edge Centrality via the Holevo Quantityt of measuring the centrality of an edge. In this paper, we propose a novel edge centrality index rooted in quantum information. More specifically, we measure the importance of an edge in terms of the contribution that it gives to the Von Neumann entropy of the graph. We show that this can be comput作者: Manifest 時(shí)間: 2025-3-25 12:51
Thermodynamic Network Analysis with Quantum Spin Statisticscupation of energy levels defined by the network. We commence from the set of energy states given by the eigenvalues of the normalized Laplacian matrix, which plays the role of the Hamiltonian operator of the network. We explore a heat bath analogy in which the network is in thermodynamic equilibriu作者: 騷擾 時(shí)間: 2025-3-25 18:57
Correlation Network Evolution Using Mean Reversion Autoregression stock market data. The work is motivated by the assumption that the price and return of a stock eventually regresses back towards their mean or average. This allows us to model the stock correlation time-series as an autoregressive process with a mean reversion term. Traditionally, the mean is comp作者: 語源學(xué) 時(shí)間: 2025-3-25 23:41 作者: 曲解 時(shí)間: 2025-3-26 00:32
Least-Squares Regression with Unitary Constraints for Network Behaviour Classificationideration. We show the effectiveness of our approach as compared to alternatives elsewhere in the literature for classification on synthetic data and network behaviour log data, where we present results on attack identification and network status prediction.作者: 避開 時(shí)間: 2025-3-26 06:50
A Multi-Stage Approach for Fast Person Re-identification propose a multi-stage ranking approach to attain a trade-off with ranking quality, for any . descriptor. We give a preliminary evaluation of our approach on the benchmark VIPeR data set, using different state-of-the-art descriptors.作者: 責(zé)問 時(shí)間: 2025-3-26 11:13 作者: 不規(guī)則 時(shí)間: 2025-3-26 14:22 作者: geometrician 時(shí)間: 2025-3-26 18:49 作者: 尖 時(shí)間: 2025-3-26 21:24
Simultaneous Nonlinear Label-Instance Embedding for Multi-label Classificationabels. In addition linear and nonlinear mapping methods of a testing instance are also proposed for multi-label classification. The experiments on thirteen benchmark datasets showed that the proposed algorithm can deal with better small-scale problems, especially in the number of instances, compared with the state-of-the-art algorithms.作者: gentle 時(shí)間: 2025-3-27 04:39
Mathematical Aspects of Tensor Subspace Methods. Therefore, sampled values of volumetric data are expressed as three-way array data. These three-way array data are expressed as the third order tensor. This embedding of the data leads us to the construction of subspace method for higher-order tensors expressing multi-way array data.作者: Homocystinuria 時(shí)間: 2025-3-27 05:53
Conference proceedings 2016ollowing topical sections: dimensionality reduction, manifold learning and embedding methods; dissimilarity representations; graph-theoretic methods; model selection, classification and clustering; semi and fully supervised learning methods; shape analysis; spatio-temporal pattern recognition; structural matching; text and document analysis.?.作者: Externalize 時(shí)間: 2025-3-27 11:35 作者: 使痛苦 時(shí)間: 2025-3-27 16:50 作者: 災(zāi)難 時(shí)間: 2025-3-27 21:14
Thermodynamic Network Analysis with Quantum Spin Statisticsoltzmann case. However, at low temperatures the Bose-Einstein system condenses into a state where the particles occupy the lowest energy state, while in the Fermi-Dirac system there is only one particle per energy state. These two models produce quite different entropic characterizations of network 作者: octogenarian 時(shí)間: 2025-3-28 01:01 作者: nephritis 時(shí)間: 2025-3-28 03:38 作者: 異端邪說2 時(shí)間: 2025-3-28 09:50
Structural, Syntactic, and Statistical Pattern RecognitionJoint IAPR Internati作者: 脫水 時(shí)間: 2025-3-28 12:43
Antonio Robles-Kellyobei die Bernstein Polynome bei der Verifikation der Bedingungen eine Rolle spielen. Deren Approximationsverhalten steht dann in Abschnitt 6.4 im Mittelpunkt: An Hand ihres punktweisen Verhaltens in der N?he der Intervallendpunkte kann schlie?lich auch auf die vielf?ltigen Anwendungsm?glichkeiten vo作者: GNAW 時(shí)間: 2025-3-28 15:18
Hayato Itoh,Atsushi Imiya,Tomoya Sakaiobei die Bernstein Polynome bei der Verifikation der Bedingungen eine Rolle spielen. Deren Approximationsverhalten steht dann in Abschnitt 6.4 im Mittelpunkt: An Hand ihres punktweisen Verhaltens in der N?he der Intervallendpunkte kann schlie?lich auch auf die vielf?ltigen Anwendungsm?glichkeiten vo作者: fulmination 時(shí)間: 2025-3-28 20:46 作者: 遭受 時(shí)間: 2025-3-29 00:39 作者: 規(guī)章 時(shí)間: 2025-3-29 04:29 作者: 健談的人 時(shí)間: 2025-3-29 08:12 作者: 注射器 時(shí)間: 2025-3-29 13:58 作者: 考古學(xué) 時(shí)間: 2025-3-29 17:58 作者: 欲望 時(shí)間: 2025-3-29 22:16 作者: Modicum 時(shí)間: 2025-3-30 03:58 作者: Accede 時(shí)間: 2025-3-30 06:56
Joshua Lockhart,Giorgia Minello,Luca Rossi,Simone Severini,Andrea Torselloonolage.S= Zerst?ubungsrate (Zahl der zerst?ubten Sekund?rteilchen pro einfallendem Prim?rion).ν= Teilchenstromdichte der Prim?rionen.Für den Intensit?tsverlauf der Sekund?rionenemission w?hrend des Abbaus einer mehrere Monolagen dicken Schicht erh?lt man mit den gleichen Annahmen (22-24):.Hierbei i作者: 克制 時(shí)間: 2025-3-30 10:15 作者: fertilizer 時(shí)間: 2025-3-30 14:14
Hayato Itoh,Atsushi Imiya,Tomoya Sakaipproximationsprobleme bei der (algebraischen) Lagrange Interpolation, wobei wir insbesondere Ergebnisse der Ungarischen Schule unter einem einheitlichen Gesichtswinkel wiedergewinnen (für ausführliche historische Hinweise siehe Bemerkung 6.1.4). In Abschnitt 6.2 wenden wir uns noch einmal der Quadra作者: Gentry 時(shí)間: 2025-3-30 20:09
Giorgia Minello,Andrea Torsello,Edwin R. Hancockebensmittel vermehrenden Mikroorganismen zu Erkrankungen des Konsumenten führen. Solche “Lebensmittelvergiftungen” haben trotz verbesserter hygienischer Ma?nahmen in den letzten Jahren zugenommen. Mikrobieller Verderb und mikrobiell bedingte Lebensmittelvergiftungen k?nnen jedoch verringert werden, 作者: lanugo 時(shí)間: 2025-3-30 22:37 作者: Lyme-disease 時(shí)間: 2025-3-31 03:55
