作者: 個阿姨勾引你 時間: 2025-3-22 00:07
Image Analysis978-3-642-38886-6Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 不幸的人 時間: 2025-3-22 03:20
https://doi.org/10.1007/978-3-642-38886-6classification; computer vision; object detection; scene analysis; sign language作者: vibrant 時間: 2025-3-22 07:16
Joni-Kristian K?m?r?inen,Markus KoskelaFast track conference proceedings.Unique visibility.State of the art research作者: intimate 時間: 2025-3-22 11:10 作者: PANIC 時間: 2025-3-22 14:23 作者: Generosity 時間: 2025-3-22 17:05 作者: Adulterate 時間: 2025-3-23 00:36 作者: aptitude 時間: 2025-3-23 04:33 作者: 希望 時間: 2025-3-23 06:05
A Local Image Descriptor Robust to Illumination Changesn variations on non-flat objects. The presented descriptor is based on multi-scale and multi-oriented even Gabor filters and constructed in such a way that typical effects of illumination variations like changes of edge polarity or spatially varying brightness changes are taken into account for illu作者: 易怒 時間: 2025-3-23 12:44 作者: conceal 時間: 2025-3-23 14:22
Simple-Graphs Fusion in Image Mosaic: Application to Automated Cell Files Identification in Wood Slito be free of radiometric and geometric corrections inherent in image fusion. We have studied and developed a generic merging method of disjoint graphs for tracking cell alignments in image mosaics of wood.作者: Prognosis 時間: 2025-3-23 21:31 作者: 攝取 時間: 2025-3-23 22:35
Extended 3D Line Segments from RGB-D Data for Pose Estimationm the RGB image and the aligned depth map. 3D line segments are then reconstructed by back-projecting 2D line segments and intersecting this with local surface patches computed from the 3D point cloud. Different edge types are classified using the new enriched representation and the potential of thi作者: exhibit 時間: 2025-3-24 03:28
Incorporating Texture Intensity Information into LBP-Based Operatorsshifted step function to minimize the quantization error of the step function to obtain more discriminative operators. Features obtained from shifted step function are simply fused together to form the final histogram. This model is generalized and can be integrated with other existing LBP variants 作者: 你正派 時間: 2025-3-24 10:35
Bayesian Non-parametric Image Segmentation with Markov Random Field Priorike common parametric methods such as mixtures of Gaussians, the proposed method does not make strict assumptions about the shape of the density functions and thus, can handle complex structures. The multiclass kernel density estimation is considered as an unsupervised learning problem. A Dirichlet 作者: 善于騙人 時間: 2025-3-24 12:15 作者: lattice 時間: 2025-3-24 17:56
Forest Stand Delineation Using a Hybrid Segmentation Approach Based on Airborne Laser Scanning Dataabor intensive process and its results are partially subjective. These images are also highly affected by weather conditions and imaging parameters. In this work, we applied a hybrid segmentation approach on Airborne Laser Scanning (ALS) data to delineate forest stands. The ALS data was firstly pre-作者: mediocrity 時間: 2025-3-24 23:00 作者: 生氣地 時間: 2025-3-24 23:16
Constructing Local Binary Pattern Statistics by Soft Votingd by the kernel density estimation designed for estimating the underlying probability function of a random variable. An essential part of the proposed method is the use of Hamming distance. Compared to the standard LBP histogram statistics where one labeled pixel always contributes to one bin of the作者: 關(guān)節(jié)炎 時間: 2025-3-25 04:19
Cascaded Random Forest for Fast Object Detectionis paper we propose a Random Forest framework which incorporates a cascade structure consisting of several stages together with a bootstrap approach. By introducing the cascade, 99% of the test images can be rejected by the first and second stage with minimal computational effort leading to a massiv作者: 壓碎 時間: 2025-3-25 07:39
Multiplicative Updates for Learning with Stochastic Matricesnt semantic analysis, etc. In such learning problems, the learned matrices, being stochastic matrices, are non-negative and all or part of the elements sum up to one. Conventional multiplicative updates which have been widely used for nonnegative learning cannot accommodate the stochasticity constra作者: BOLUS 時間: 2025-3-25 15:01 作者: 平 時間: 2025-3-25 18:20 作者: 得罪人 時間: 2025-3-25 21:11
Continuous-Space Gaussian Process Regression and Generalized Wiener Filtering with Application to Les model. We study abstract continuous-space Gaussian regression problems where the training set covers the whole input space instead of consisting of a finite number of distinct points. The model can be used for analyzing theoretical properties of Gaussian process regressors. In this paper, we prese作者: disciplined 時間: 2025-3-26 03:58
Approximations of Gaussian Process Uncertainties for Visual Recognition Problemsn result. This is especially useful to select informative samples in active learning and to spot samples of previously unseen classes known as novelty detection. However, the Gaussian process framework suffers from high computational complexity leading to computation times too large for practical ap作者: deactivate 時間: 2025-3-26 07:24
Topology-Preserving Dimension-Reduction Methods for Image Pattern Recognitiontern recognition uses pattern recognition techniques for the classification of image data. For the numerical achievement of image pattern recognition techniques, images are sampled using an array of pixels. This sampling procedure derives vectors in a higher-dimensional metric space from image patte作者: Pruritus 時間: 2025-3-26 10:03
Texture Description with Completed Local Quantized Patternsses random initialization in vector quantization, this leads to losing the distribution of local patterns and costing much computational time. For reducing the unnecessary computational time of initialization, we use preselected dominant patterns as the initialization. Our experimental results show 作者: 歸功于 時間: 2025-3-26 14:46 作者: Watemelon 時間: 2025-3-26 17:26 作者: 極深 時間: 2025-3-26 22:45 作者: 灌溉 時間: 2025-3-27 04:32
Constructing Local Binary Pattern Statistics by Soft Votingemonstrate that the method is extremely potential in problems where the number of pixels is limited. This makes the method very promising, for example, in low-resolution image description and the description of interest regions. Another interesting property of the proposed method is that it can be e作者: caldron 時間: 2025-3-27 05:56 作者: Sedative 時間: 2025-3-27 13:22
Validating the Visual Saliency Modeltitute a proof as to the validity of the saliency model. Our results show that the saliency model performs well in predicting non-salient regions and highly salient regions but that it performs no better than a random classifier in the middle range of saliency.作者: Nuance 時間: 2025-3-27 17:02 作者: Canvas 時間: 2025-3-27 18:59 作者: hematuria 時間: 2025-3-27 23:21
Xiaohua Huang,Guoying Zhao,Xiaopeng Hong,Matti Pietik?inen,Wenming Zheng作者: Nomadic 時間: 2025-3-28 04:43
Nataliya Strokina,Tatiana Kurakina,Tuomas Eerola,Lasse Lensu,Heikki K?lvi?inen作者: Glutinous 時間: 2025-3-28 07:14
Guilhem Brunel,Philippe Borianne,Gérard Subsol,Marc Jaeger作者: ornithology 時間: 2025-3-28 10:54 作者: 仲裁者 時間: 2025-3-28 18:25
Teemu Kinnunen,Mari Laine-Hernandez,Pirkko Oittinen作者: 賄賂 時間: 2025-3-28 21:36
Zhengzhe Wu,Ville Heikkinen,Markku Hauta-Kasari,Jussi Parkkinen,Timo Tokola作者: Hearten 時間: 2025-3-29 00:59
Florian Baumann,Arne Ehlers,Karsten Vogt,Bodo Rosenhahn作者: 運動的我 時間: 2025-3-29 05:32
Conference proceedings 2013 .The 67 revised full papers presented were carefully reviewed and selected from 132 submissions. The papers are organized in topical sections on feature extraction and segmentation, pattern recognition and machine learning, medical and biomedical image analysis, faces and gestures, object and scene作者: 情愛 時間: 2025-3-29 08:45 作者: 核心 時間: 2025-3-29 15:08 作者: 侵害 時間: 2025-3-29 16:53
Incorporating Texture Intensity Information into LBP-Based Operatorsptors and evaluated on publicly available texture databases (Outex_TC_00012 and KTH-TIPS2b) for texture classification. Experimental results demonstrate that it not only improves the performance of operators it is integrated with but also achieves higher accuracy compared to the state of the art in texture classification.作者: intellect 時間: 2025-3-29 22:11 作者: Assignment 時間: 2025-3-30 03:18
Continuous-Space Gaussian Process Regression and Generalized Wiener Filtering with Application to Lent the general continuous-space Gaussian process regression equations and discuss their close connection with Wiener filtering. We apply the results to estimation of learning curves as functions of training set size and input dimensionality.作者: Psa617 時間: 2025-3-30 07:39
Conference proceedings 2013 recognition, matching, registration, and alignment, 3D vision, color and multispectral image analysis, motion analysis, systems and applications, human-centered computing, and video and multimedia analysis.作者: 燈泡 時間: 2025-3-30 09:40 作者: MIME 時間: 2025-3-30 13:22
Evaluating Local Feature Detectors in Salient Region Detection participants viewing two types of images: natural images (photographs) and abstract/surreal images. The results indicate that all of the six evaluated local feature detectors perform clearly above chance level. The Hessian-Affine detector performs the best and almost reaches the performance level of state-of-the-art saliency detection methods.作者: 6Applepolish 時間: 2025-3-30 18:12
0302-9743 color and multispectral image analysis, motion analysis, systems and applications, human-centered computing, and video and multimedia analysis.978-3-642-38885-9978-3-642-38886-6Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: projectile 時間: 2025-3-30 20:44 作者: 使無效 時間: 2025-3-31 03:00
Bundle Methods for Structured Output Learning — Back to the Roots the original bundle methods, ii)?starting optimization from a non-trivial initial solution. We combine both improvements with the multiple cutting plane model approximation [2]. Experiments on real-life data show consistently faster convergence achieving speedup up to factor of 9.7.作者: Receive 時間: 2025-3-31 05:52
Approximations of Gaussian Process Uncertainties for Visual Recognition Problemsamples involved. The benefits of our approximations are verified in experimental evaluations for novelty detection and active learning of visual object categories on the datasets C-Pascal of Pascal VOC 2008, Caltech-256, and ImageNet.作者: 廢墟 時間: 2025-3-31 11:21
Topology-Preserving Dimension-Reduction Methods for Image Pattern Recognitionand topological features of image patterns. The desired dimension-reduction method selects an appropriate low-dimensional subspace that preserves the topological information of the classification space.作者: 潔凈 時間: 2025-3-31 17:26
0302-9743 dinavian Conference on Image Analysis, SCIA 2013, held in Espoo, Finland, in June 2013. .The 67 revised full papers presented were carefully reviewed and selected from 132 submissions. The papers are organized in topical sections on feature extraction and segmentation, pattern recognition and machin作者: 拘留 時間: 2025-3-31 20:51
Geometrical Specification for Non-rigid Parts,pecified or referenced on the drawing to define the restraint requirements. When a general note invokes a restrained condition, all the dimensions and tolerances apply in the restrained condition, unless they are overridden by a “free state” ? symbol.作者: 有常識 時間: 2025-3-31 22:53
Book 2015k analytically discusses the status of DRR and draws examples and lessons from national and community-level programs and projects and events in the country..The book covers different types of disasters facing Pakistan, including geo-physical and hydro-meteorological hazards. This work incorporates a作者: exquisite 時間: 2025-4-1 02:09
Experimental Setup and Data Analysis Considerations for DNA- and RNA-SIP Experiments in the Omics Eic acids should be loaded, how many fractions to collect, and what centrifuge rotor to use. Lastly, a brief overview of the current methods for analyzing SIP data is presented, focusing on high-throughput amplicon sequencing, together with a discussion on how the choice of analysis method might affect the experimental design.作者: 就職 時間: 2025-4-1 09:35
