標題: Titlebook: Recognizing Patterns in Signals, Speech, Images, and Videos; ICPR 2010 Contents, Devrim ünay,Zehra ?ataltepe,Selim Aksoy Conference procee [打印本頁] 作者: malfeasance 時間: 2025-3-21 18:34
書目名稱Recognizing Patterns in Signals, Speech, Images, and Videos影響因子(影響力)
書目名稱Recognizing Patterns in Signals, Speech, Images, and Videos影響因子(影響力)學科排名
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書目名稱Recognizing Patterns in Signals, Speech, Images, and Videos網(wǎng)絡(luò)公開度學科排名
書目名稱Recognizing Patterns in Signals, Speech, Images, and Videos被引頻次
書目名稱Recognizing Patterns in Signals, Speech, Images, and Videos被引頻次學科排名
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書目名稱Recognizing Patterns in Signals, Speech, Images, and Videos讀者反饋
書目名稱Recognizing Patterns in Signals, Speech, Images, and Videos讀者反饋學科排名
作者: compel 時間: 2025-3-21 23:27
The ImageCLEF Medical Retrieval Task at ICPR 2010 — Information Fusion to Combine Visual and Textualeval performance if combined effectively. Combining visual and textual runs is not trivial based on experience in ImageCLEF. The goal of the fusion challenge at ICPR is to encourage participants to combine visual and textual results to improve search performance. Participants were provided textual a作者: Flinch 時間: 2025-3-22 00:50
Information Fusion for Combining Visual and Textual Image Retrieval in ImageCLEF@ICPRmodality fusion. The logarithmic rank penalization shows to be the most stable normalization. The dark horse effect is in competition with the chorus effect and each of them can produce best fusion performance depending on the nature of the input data.作者: 六邊形 時間: 2025-3-22 05:20
Overview of the Photo Annotation Task in ImageCLEF@ICPRformance for each image ranged between 59% and 100% with an average score of 85%. In comparison to the results achieved in ImageCLEF 2009, the detection performance increased for the concept-based evaluation by 2.2% EER and 2.5% AUC and showed a slight decrease for the example-based evaluation.作者: esoteric 時間: 2025-3-22 11:16
Detection of Visual Concepts and Annotation of Images Using Ensembles of Trees for Hierarchical Multto annotate an image. Moreover, we constructed ensembles (random forests) of PCTs, to improve the predictive performance. We tested our system on the image database from the ImageCLEF@ICPR 2010 photo annotation task. The extensive experiments conducted on the benchmark database show that our system 作者: Corporeal 時間: 2025-3-22 15:37 作者: CHANT 時間: 2025-3-22 18:53 作者: Apoptosis 時間: 2025-3-22 23:03
Robert P. W. Duin,Marco Loog,El?bieta P?kalska,David M. J. Taxrden im Rahmen der Energieerhaltung die physikalischen Begriffe der Arbeit, Energie und des Potenzials hergeleitet. Impulserhaltung wird am Beispiel von St??en zwischen K?rpern behandelt. Au?erdem wird die Drehimpulserhaltung eingeführt. Ein weiterer Abschnitt ist der Statik gewidmet, also der Situa作者: 多產(chǎn)子 時間: 2025-3-23 04:57 作者: lobster 時間: 2025-3-23 07:50
Luiz Otávio Vilas Boas Oliveira,Isabela Neves Drummond bis 3.3 zun?chst um elastische Verformungen von festen K?rpern. Dann werden wir uns den Flüssigkeiten und Gasen (Fluiden) widmen. Hierbei behandeln wir zuerst die statischen Eigenschaften wie Druck, Auftrieb, Kompressibilit?t und Kr?fte an Grenzfl?chen, danach geht es um die dynamischen Eigenschaft作者: Synapse 時間: 2025-3-23 13:22
0302-9743 aluation, PR in HIMA - Pattern Recognition in Histopathological Images, SDHA 2010 - Semantic Description of Human Activities.978-3-642-17710-1978-3-642-17711-8Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: curettage 時間: 2025-3-23 15:32 作者: Palliation 時間: 2025-3-23 20:18
Wiger van Houten,Zeno Geradts,Katrin Franke,Cor Veenman作者: pulse-pressure 時間: 2025-3-23 22:46 作者: Diluge 時間: 2025-3-24 06:26
A. Revuelta-Martínez,I. García-Varea,J. M. Puerta,L. Rodríguez作者: 任命 時間: 2025-3-24 08:15 作者: inveigh 時間: 2025-3-24 12:50
M. A. Tahir,F. Yan,M. Barnard,M. Awais,K. Mikolajczyk,J. Kittler作者: 充氣女 時間: 2025-3-24 15:41
Andrzej Pronobis,Henrik I. Christensen,Barbara Caputo作者: Synchronism 時間: 2025-3-24 19:18 作者: bourgeois 時間: 2025-3-25 02:31
Recognizing Patterns in Signals, Speech, Images, and VideosICPR 2010 Contents, 作者: cipher 時間: 2025-3-25 03:40
Devrim ünay,Zehra ?ataltepe,Selim AksoyHigh quality selected papers.Unique visibility.State of the art research作者: Pepsin 時間: 2025-3-25 08:30
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/r/image/824074.jpg作者: CRACY 時間: 2025-3-25 13:21 作者: OUTRE 時間: 2025-3-25 16:18
978-3-642-17710-1Springer Berlin Heidelberg 2010作者: Conserve 時間: 2025-3-25 23:22
Recognizing Patterns in Signals, Speech, Images, and Videos978-3-642-17711-8Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: mortgage 時間: 2025-3-26 00:56
Núria Macià,Tin Kam Ho,Albert Orriols-Puig,Ester Bernadó-MansillaK?rpern, die sich nicht verformen lassen. Hierbei vernachl?ssigen wir Reibungskr?fte, sofern nicht explizit darauf hingewiesen wird. Starre K?rper k?nnen sich nur entweder als ganzes Objekt verschieben oder sich drehen. Der Zusammenhang der Ortskurve eines K?rpers mit seiner Geschwindigkeit und der 作者: crease 時間: 2025-3-26 04:36 作者: 繁殖 時間: 2025-3-26 10:28
Joaquín Derrac,Salvador García,Francisco HerreraK?rpern, die sich nicht verformen lassen. Hierbei vernachl?ssigen wir Reibungskr?fte, sofern nicht explizit darauf hingewiesen wird. Starre K?rper k?nnen sich nur entweder als ganzes Objekt verschieben oder sich drehen. Der Zusammenhang der Ortskurve eines K?rpers mit seiner Geschwindigkeit und der 作者: 吹氣 時間: 2025-3-26 13:55 作者: 儀式 時間: 2025-3-26 17:08
Conference proceedings 2010n August 2010. The 31 revised full papers presented were carefully reviewed and selected. The papers are organized in topical sections on BiHTR - Bi-modal handwritten Text Recognition, CAMCOM 2010 - Verification of Video Source Camera Competition, CDC - Classifier Domains of Competence, GEPR - Graph作者: Admire 時間: 2025-3-26 23:13 作者: 數(shù)量 時間: 2025-3-27 02:11 作者: gain631 時間: 2025-3-27 07:01
Verification of Video Source Camera Competition (,) to create a benchmark for source video identification, where the videos originate from YouTube. Despite the number of participants was satisfactory initially, only two participants submitted results, mostly due to a lack of time. Judging by the performance of the contestants, this is certainly not a trivial problem.作者: 珠寶 時間: 2025-3-27 13:15
Feature-Based Dissimilarity Space Classificationconcluded that the feature-based dissimilarity space classification performs similar or better than the linear and nonlinear SVMs, as averaged over all 301 datasets of the contest and in a large subset of its datasets. This indicates that these classifiers have their own domain of competence.作者: 執(zhí)拗 時間: 2025-3-27 14:39
A Fuzzy-Interval Based Approach for Explicit Graph Embeddingare obtained by defining (in an unsupervised fashion), fuzzy-intervals over the list of node degrees, node attributes and edge attributes. Experimental results are provided for sample data of ICPR2010 contest GEPR.作者: Esalate 時間: 2025-3-27 20:18 作者: ENACT 時間: 2025-3-27 21:57
The University of Surrey Visual Concept Detection System at ImageCLEF@ICPR: Working Notes learning. The main novelty is the classifier-level and kernel-level fusion using Kernel Discriminant Analysis with RBF/Power Chi-Squared kernels obtained from various image descriptors. For 32 out of 53 individual concepts, we obtain the best performance of all 12 submissions to this task.作者: Anal-Canal 時間: 2025-3-28 05:08 作者: 宣誓書 時間: 2025-3-28 07:46 作者: 牲畜欄 時間: 2025-3-28 12:52
Verification of Video Source Camera Competition (,)emselves may be illegal. Due to the tight integration of these mobile devices with the internet, these recordings may quickly find their way to internet video-sharing sites such as YouTube. In criminal casework it is advantageous to reliably establish the source of the video. Although this was shown作者: Innovative 時間: 2025-3-28 16:25
The Landscape Contest at ICPR 2010of an evolutionary multiobjective optimization approach, artificial data sets are generated to cover reachable regions in different dimensions of data complexity space. Systematic comparison of a diverse set of classifiers highlights their merits as a function of data complexity. Detailed analysis o作者: 不朽中國 時間: 2025-3-28 21:30 作者: 果核 時間: 2025-3-28 23:41 作者: A簡潔的 時間: 2025-3-29 05:59 作者: 開玩笑 時間: 2025-3-29 10:59
Graph Embedding for Pattern Recognitione an effective algorithm to represent graph-based structures in terms of vector spaces, to enable the use of the methodologies and tools developed in the statistical Pattern Recognition field. For this contest, a large dataset of graphs derived from three available image databases has been construct作者: 演講 時間: 2025-3-29 11:42
Graph Embedding Using Constant Shift Embeddingy robust and efficient methods for classification (unsupervised and supervised) have been developed for feature vector representations. In this paper, we propose a graph embedding technique based on the constant shift embedding which transforms a graph to a real vector. This technique gives the abil作者: 傷心 時間: 2025-3-29 17:51
A Fuzzy-Interval Based Approach for Explicit Graph Embedding vector encodes details about the number of nodes, number of edges, node degrees, the attributes of nodes and the attributes of edges in the graph. The first two features are for the number of nodes and the number of edges. These are followed by . features for node degrees, . features for . node att作者: anaerobic 時間: 2025-3-29 22:33
The ImageCLEF Medical Retrieval Task at ICPR 2010 — Information Fusion to Combine Visual and Textualrchives. However, image retrieval is far less understood and developed than text–based search. The ImageCLEF medical image retrieval task is an international benchmark that enables researchers to assess and compare techniques for medical image retrieval using standard test collections. Although text作者: happiness 時間: 2025-3-30 00:47 作者: 寒冷 時間: 2025-3-30 06:09
Rank-Mixer and Rank-Booster: Improving the Effectiveness of Retrieval Methodsds to improve the result, and the other uses one single method to achieve higher effectiveness. One of the advantages of the proposed algorithms is that they can be computed efficiently in top of existing indexes. Our experimental evaluation over 3D object datasets shows that the proposed techniques作者: 共同給與 時間: 2025-3-30 10:03 作者: 老人病學 時間: 2025-3-30 14:24
Overview of the Photo Annotation Task in ImageCLEF@ICPREF@ICPR contest. In total, 12 research teams participated in the multilabel classification challenge while initially 17 research groups were interested and got access to the data. The participants were provided with a training set of 5,000 Flickr images with annotations, a validation set of 3,000 Fl作者: Herd-Immunity 時間: 2025-3-30 18:16 作者: Encephalitis 時間: 2025-3-30 22:27
The University of Surrey Visual Concept Detection System at ImageCLEF@ICPR: Working NotesConcept Detection Task which ranked . for large-scale visual concept detection tasks in terms of Equal Error Rate (EER) and Area under Curve (AUC) and ranked . in terms of hierarchical measure. The presented approach involves state-of-the-art local descriptor computation, vector quantisation via clu作者: MURKY 時間: 2025-3-31 03:12
Overview of the ImageCLEF@ICPR 2010 Robot Vision Tracklace classification. Participants were asked to classify rooms and areas of an office environment on the basis of image sequences captured by a stereo camera mounted on a mobile robot, under varying illumination conditions. The algorithms proposed by the participants had to answer the question “wher作者: Mendacious 時間: 2025-3-31 06:25
Methods for Combined Monocular and Stereo Mobile Robot Localizationnefits of a stereo camera system for place recognition. Visual words computed from SIFT features are combined with VIP (viewpoint invariant patches) features that use depth information from the stereo setup. The approach was evaluated under the ImageCLEF@ICPR 2010 competition. The results achieved o作者: Campaign 時間: 2025-3-31 11:16
IFS-CoCo in the Landscape Contest: Description and Resultsomains of competence: The Landscape contest”. The results obtained show that our proposal is a very competitive approach in the domains considered, outperforming both the benchmark results of the contest and the nearest neighbor rule.作者: 高度 時間: 2025-3-31 15:56
Real-Valued Negative Selection (RNS) for Classification Taskd the number of detectors for each class. We present an illustrative example. Preliminary results obtained shows that our approach is promising. Our implementation is developed in Java using the Weka environment.作者: Fretful 時間: 2025-3-31 21:06 作者: 廢止 時間: 2025-4-1 01:04 作者: Blood-Vessels 時間: 2025-4-1 02:54 作者: 暫時過來 時間: 2025-4-1 08:23 作者: PLE 時間: 2025-4-1 13:44 作者: Spinal-Tap 時間: 2025-4-1 17:18 作者: AVID 時間: 2025-4-1 20:34
Model Fitting, measurements composed of signal and noise and to construct mathematical models incorporating both of these components. Often the signal is regarded as . (i.e. non-random) and the noise as random. Therefore, a mathematical model of the data combining both signal and noise is probabilistic and it is 作者: Serenity 時間: 2025-4-1 22:46 作者: 阻礙 時間: 2025-4-2 05:21
