標題: Titlebook: Computer Analysis of Images and Patterns; 17th International C Michael Felsberg,Anders Heyden,Norbert Krüger Conference proceedings 2017 Sp [打印本頁] 作者: 武士精神 時間: 2025-3-21 16:16
書目名稱Computer Analysis of Images and Patterns影響因子(影響力)
書目名稱Computer Analysis of Images and Patterns影響因子(影響力)學(xué)科排名
書目名稱Computer Analysis of Images and Patterns網(wǎng)絡(luò)公開度
書目名稱Computer Analysis of Images and Patterns網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Computer Analysis of Images and Patterns被引頻次
書目名稱Computer Analysis of Images and Patterns被引頻次學(xué)科排名
書目名稱Computer Analysis of Images and Patterns年度引用
書目名稱Computer Analysis of Images and Patterns年度引用學(xué)科排名
書目名稱Computer Analysis of Images and Patterns讀者反饋
書目名稱Computer Analysis of Images and Patterns讀者反饋學(xué)科排名
作者: 赤字 時間: 2025-3-21 20:47 作者: Petechiae 時間: 2025-3-22 02:30
A New Image Contrast Enhancement Algorithm Using Exposure Fusion Frameworkchniques have been proposed to solve this problem, existing methods inevitably introduce contrast under- and over-enhancement. In this paper, we propose an image contrast enhancement algorithm to provide an accurate contrast enhancement. Specifically, we first design the weight matrix for image fusi作者: 咽下 時間: 2025-3-22 04:41
Quaternionic Flower Pollination Algorithmnamics to machine learning. Though such techniques are suitable for global optimization, they can still be get trapped locally under certain conditions, thus leading to reduced performance. In this work, we propose a quaternionic-based Flower Pollination Algorithm (FPA), which extends standard FPA t作者: Gentry 時間: 2025-3-22 10:00 作者: Intrepid 時間: 2025-3-22 13:33
Parkinson’s Disease Identification Using Restricted Boltzmann Machines in the elderly population. Its main symptoms can not be easily uncorrelated with other illness, being way more difficult to be identified at the early stages. As such, computer-aided tools have been recently used to assist in this task, but the challenge in the automatic identification of Parkinson作者: Intrepid 時間: 2025-3-22 19:56
Attention-Based Two-Phase Model for Video Action Detection whole video to make detection decisions, which can not only be time-consuming but also burden the computational models. Instead, we present an attention-based model to perform action detection by watching only a few fragments, which is independent with the video length and can be applied to real-wo作者: 圍巾 時間: 2025-3-22 23:28 作者: grounded 時間: 2025-3-23 05:09 作者: rheumatology 時間: 2025-3-23 08:31 作者: ingestion 時間: 2025-3-23 10:46
Deep Objective Image Quality Assessmentmeters of these operations (e.g. JPEG compression quality). For this purpose, we propose a CNN architecture for multi-label classification and integrate patch predictions to obtain continuous parameter estimates. We train this architecture using softmax layers that support multi-label classification作者: genuine 時間: 2025-3-23 15:15 作者: 蕁麻 時間: 2025-3-23 19:45
Stacked Progressive Auto-Encoders for Clothing-Invariant Gait Recognition such as view angles, clothing, and carrying condition can alter an individual’s gait pattern. These variations make the task of gait analysis much more complicated. Recognizing different subjects under clothing variations remains one of the most challenging tasks in gait recognition. In this paper,作者: CAND 時間: 2025-3-24 00:48 作者: FLAT 時間: 2025-3-24 04:04 作者: 歌劇等 時間: 2025-3-24 08:10 作者: 無底 時間: 2025-3-24 13:16
Functionals of the Brownian Bridge As a result, we observe that the directional dominance score and the improvement rate in noise reduction performance are correlated. Therefore, the resulting score can be used to estimate the performance of DTV method.作者: EXULT 時間: 2025-3-24 18:10 作者: EXPEL 時間: 2025-3-24 21:47
Link Prediction in Social Networksmated with high accuracy. Furthermore, we demonstrate that the learned features are discriminative for subjective image quality assessment, achieving state-of-the-art results on the LIVE2 dataset via transfer learning. The proposed CNN architecture supports any multi-label classification problem.作者: 巨頭 時間: 2025-3-25 00:23 作者: BOOR 時間: 2025-3-25 04:29
A New Image Contrast Enhancement Algorithm Using Exposure Fusion Frameworkhetic image are fused according to the weight matrix to obtain the enhancement result. Experiments show that our method can obtain results with less contrast and lightness distortion compared to that of several state-of-the-art methods.作者: EXPEL 時間: 2025-3-25 07:37 作者: pus840 時間: 2025-3-25 14:45
https://doi.org/10.1007/978-981-97-1241-0troduces symmetric constraints to the original Laplacian deformation and FAIS. Comprehensive test results show that the Laplacian deformation and FAIS with symmetric constraints are more robust and accurate than their original counterparts in reconstructing defective skulls with large amounts of defects.作者: 大雨 時間: 2025-3-25 16:36 作者: 是剝皮 時間: 2025-3-25 20:47
Introduction to Social Network Computingated with local consistency regularization in a probabilistic manner, and unreliable ones are rejected by graph matching. Experiments on two challenging datasets demonstrate that the proposed model outperforms the state-of-the-art progressive method in challenging real-world matching tasks.作者: Entrancing 時間: 2025-3-26 00:49 作者: bisphosphonate 時間: 2025-3-26 07:46 作者: Congestion 時間: 2025-3-26 10:14 作者: 不給啤 時間: 2025-3-26 14:43 作者: muster 時間: 2025-3-26 17:34
A Missing Singular Point Resistant Fingerprint Classification Technique, Based on Directional Patterthe key information has not been captured and tends to be extremely difficult to classify, are proposed to develop a complete classification algorithm using .s. The proposed algorithm is tested on the . 2002 .1 and 2004 .1 and achieves an overall accuracy of 92.48%.作者: CAJ 時間: 2025-3-26 23:33 作者: RENAL 時間: 2025-3-27 05:02
Automatic Detection of Utility Poles Using the Bag of Visual Words Method for Different Feature Extrbtained from Google Maps for the region of Campinas/SP. The Bag of Visual Words (BoVW) method was used to classify the two classes (those that are utility poles and those that are not utility poles), and know if the sub-image obtained belongs to a utility pole class.作者: 天然熱噴泉 時間: 2025-3-27 09:22
0302-9743 ; Image/Video Indexing and Retrieval; Shape Representation and Analysis; Biomedical Image Analysis; Biometrics; Machine Learning; Image Restoration; and Poster Sessions..978-3-319-64697-8978-3-319-64698-5Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 半球 時間: 2025-3-27 11:34 作者: ARM 時間: 2025-3-27 16:36 作者: 使聲音降低 時間: 2025-3-27 21:36
Conference proceedings 2017ers are organized in the following topical sections: Vision for Robotics; Motion and Tracking; Segmentation; Image/Video Indexing and Retrieval; Shape Representation and Analysis; Biomedical Image Analysis; Biometrics; Machine Learning; Image Restoration; and Poster Sessions..作者: 走路左晃右晃 時間: 2025-3-28 00:28
Surveillance of Reservoir Hosts,o possibly smoother search spaces based on hypercomplex representations. We show the proposed approach is more accurate than five other metaheuristic techniques in four benchmarking functions. We also present a parallel version of the proposed approach that runs much faster.作者: eucalyptus 時間: 2025-3-28 03:58 作者: 骨 時間: 2025-3-28 08:17 作者: 薄荷醇 時間: 2025-3-28 10:34 作者: Halfhearted 時間: 2025-3-28 15:07
Surveillance of Reservoir Hosts,chniques have been proposed to solve this problem, existing methods inevitably introduce contrast under- and over-enhancement. In this paper, we propose an image contrast enhancement algorithm to provide an accurate contrast enhancement. Specifically, we first design the weight matrix for image fusi作者: CBC471 時間: 2025-3-28 22:43
Surveillance of Reservoir Hosts,namics to machine learning. Though such techniques are suitable for global optimization, they can still be get trapped locally under certain conditions, thus leading to reduced performance. In this work, we propose a quaternionic-based Flower Pollination Algorithm (FPA), which extends standard FPA t作者: FIR 時間: 2025-3-28 23:31 作者: 性學(xué)院 時間: 2025-3-29 05:44
Techniques for Risk Assessment, in the elderly population. Its main symptoms can not be easily uncorrelated with other illness, being way more difficult to be identified at the early stages. As such, computer-aided tools have been recently used to assist in this task, but the challenge in the automatic identification of Parkinson作者: 秘傳 時間: 2025-3-29 09:02 作者: CLOT 時間: 2025-3-29 14:41 作者: Spinal-Fusion 時間: 2025-3-29 19:32 作者: 幼稚 時間: 2025-3-29 21:39
Link Prediction in Social Networksof the affected components include three-phase transformers, switches, connectors, fuses, etc. Utility Pole detection aids in the classification of these affected components; thus, the importance of its study. In this work, we propose a method to detect the utility poles using a database of images o作者: 相反放置 時間: 2025-3-30 03:08 作者: 莊嚴 時間: 2025-3-30 06:49 作者: EVADE 時間: 2025-3-30 08:24
Strong and Weak Ties in Social Networks such as view angles, clothing, and carrying condition can alter an individual’s gait pattern. These variations make the task of gait analysis much more complicated. Recognizing different subjects under clothing variations remains one of the most challenging tasks in gait recognition. In this paper,作者: 引起 時間: 2025-3-30 13:26 作者: 粗野 時間: 2025-3-30 17:36
Dynamic Analysis of Social Networksompact scanners incorrectly causing loss of Singular Points (.s). This has a severe impact on Exclusive Fingerprint Classification due to small inter-class variability amongst fingerprint classes. Directional Patterns (.s) have recently shown potential in classifying fingerprints with missing .s. Ho作者: 兒童 時間: 2025-3-30 23:06 作者: 舊石器時代 時間: 2025-3-31 02:40 作者: insurgent 時間: 2025-3-31 05:06 作者: 小歌劇 時間: 2025-3-31 09:18
978-3-319-64697-8Springer International Publishing AG 2017作者: COKE 時間: 2025-3-31 15:32 作者: Meditate 時間: 2025-3-31 19:15
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/233453.jpg作者: 聽寫 時間: 2025-3-31 22:55
https://doi.org/10.1007/978-981-97-1241-0texture features of the nuclei. Experimental results indicate that the proposed method separates the nuclei from background effectively. In addition, comparisons are made with the segmentation methods of thresholding-based, clustering-based and graph-based, which show that the results obtained with 作者: PATHY 時間: 2025-4-1 03:03
Techniques for Risk Assessment,ervised classifiers in the task of automatic identification of PD patients, as well as one can obtain a more compact representation of the exam for the sake of storage and computational load purposes.
