作者: 種族被根除 時間: 2025-3-21 21:07
978-3-319-16633-9Springer International Publishing Switzerland 2015作者: SUE 時間: 2025-3-22 00:32
C. V. Jawahar,Shiguang ShanIncludes supplementary material: 作者: Uncultured 時間: 2025-3-22 05:37 作者: 服從 時間: 2025-3-22 12:35
The Cultural Sociology of Art and Musice.g. dogs and cats), modeling the variation of visual appearance within instances of the same class (e.g. Dalmatian and Chihuahua in the same category of dogs), and tolerate imaging distortion (3D pose). These account to within and between class variance in machine learning terminology, but in recen作者: LEVER 時間: 2025-3-22 16:23
The Cultural Sociology of Art and Musicnsform both the sharp images and blurred images to a same feature subspace by the method of multidimensional scaling. Different from the method of finding blur-invariant descriptors, our method learns the transformation which both preserves the manifold structure of the original shape images and, at作者: LEVER 時間: 2025-3-22 20:25 作者: 笨拙的我 時間: 2025-3-22 22:26
The Cultural Sociology of Art and Music The proposed probabilistic model can easily work with any type of image primitives such as edge segments, non-max-suppressed filter set responses, texels, distinct image regions, SIFT features, etc., and is even capable of modelling non-rigid and/or visually variable objects. The model has recursiv作者: 接觸 時間: 2025-3-23 02:02
The Cultural Sociology of Art and Musicvisual feature extracted from each instance. However, a single kind of feature is not enough for appropriately measuring ICDs due to a wide variety of perspectives for similarity evaluation (e.g., color, shape, size, hardness, heaviness, and functions); the relationships between different concept pa作者: ostensible 時間: 2025-3-23 07:18 作者: 小平面 時間: 2025-3-23 12:21
https://doi.org/10.1057/9780230337879recognition. However, it cannot be used when encountering the single sample per person problem (SSPP) because the intra-class variations cannot be evaluated. In this paper, we propose a novel method coined local similarity based linear discriminant analysis (LS_LDA) to solve this problem. Motivated 作者: 憲法沒有 時間: 2025-3-23 15:26 作者: Finasteride 時間: 2025-3-23 21:47
Christian Humanism and the Jewsces for any patient may prove to be a tedious and time consuming task for the radiologists. Therefore, to assist the physicians we propose an automatic lung tumor detection method based on textural features. The lung parenchyma region is segmented as a pre-processing because the tumors reside within作者: 圓柱 時間: 2025-3-23 22:21
https://doi.org/10.1007/978-3-030-27025-4ontributions. First, we propose a flexible linear semi-supervised feature extraction method that seeks a non-linear subspace that is close to a linear one. The proposed method is based on a criterion that simultaneously exploits the discrimination information provided by the labeled samples, maintai作者: LUCY 時間: 2025-3-24 06:24 作者: colostrum 時間: 2025-3-24 09:08
Corporate Culture Out of Control?,ective that compares, for a given query image, the similarity scores of an image with a matching and a non-matching image, penalizing triplets that give a higher score to the non-matching image. We use stochastic gradient descent to address the resulting problem and provide the required gradient exp作者: Absenteeism 時間: 2025-3-24 12:02
Corporate Culture Out of Control?,ction with different SVM classifiers. We experimented with linear SVM classifier, RBF kernel SVM classifier and a recently-proposed local linear SVM (LL-SVM) classifier. In this paper, we focus on smile detection in face images captured in real-world scenarios, such as those in GENKI4K database. In 作者: Obvious 時間: 2025-3-24 15:40 作者: 枯萎將要 時間: 2025-3-24 19:10 作者: gustation 時間: 2025-3-24 23:29
Sarah Yeukai Matanga,Nonki Motahanenger is modelled as a cylindrical object and the finger images can be extracted from the convolution with a specific operator as salient hand edge images. Hand center, hand orientation and wrist location are then determined via the analysis of finger image and hand silhouette. The angular projection作者: neutrophils 時間: 2025-3-25 06:02 作者: Limerick 時間: 2025-3-25 10:52 作者: 暴露他抗議 時間: 2025-3-25 15:00
Computer Vision - ACCV 2014 Workshops978-3-319-16634-6Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: Optometrist 時間: 2025-3-25 16:14
0302-9743 h Vision Technology, the Third Workshop on E-Heritage, and the Workshop on Computer Vision for Affective Computing. LNCS 9010 contains the papers selected for the Workshop on Feature and Simila978-3-319-16633-9978-3-319-16634-6Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: ostensible 時間: 2025-3-25 22:57
The Cultural Sociology of Art and Musicat help to discover visual attributes by clustering. However, the latent attribute structure in real life is multi-relational, e.g. two different sport cars in different poses vs. a sport car and a family car in the same pose - what attribute can dominate similarity? Instead of clustering, a network作者: 貪婪的人 時間: 2025-3-26 00:57 作者: Acetaldehyde 時間: 2025-3-26 05:56
Corporate Culture Out of Control?, LL-SVM is verified to find a balance between accuracy and efficiency. And among all the features including pixel value intensity, Gabor, LBP and HOG features, we find that HOG features are the most appropriate features to detect smiling faces, which, combined with RBF kernel SVM, achieve an accurac作者: mosque 時間: 2025-3-26 11:10
https://doi.org/10.1007/978-1-137-11639-0 of values tested in cross validation process, . is the number of steps in the Conjugate Gradient method, . is the number of training data, . and . are the dimensions of projection matrix.). The experimental results of our method on UCI datasets for classification task and LFW dataset for face verif作者: 使熄滅 時間: 2025-3-26 16:15 作者: RENIN 時間: 2025-3-26 18:07 作者: heartburn 時間: 2025-3-27 01:02
Person Re-identification Using Clustering Ensemble Prototypesf each prototype depends upon the appearance characteristics of gallery instances. The estimation of k-NN classifier is employed to specify a prototype to a given probe image. The similarity measure computation is performed between the probe and a subset of gallery images, that shares the same proto作者: 懶惰人民 時間: 2025-3-27 01:23
Evaluation of Smile Detection Methods with Images in Real-World Scenarios LL-SVM is verified to find a balance between accuracy and efficiency. And among all the features including pixel value intensity, Gabor, LBP and HOG features, we find that HOG features are the most appropriate features to detect smiling faces, which, combined with RBF kernel SVM, achieve an accurac作者: Cerebrovascular 時間: 2025-3-27 05:40 作者: 迫擊炮 時間: 2025-3-27 10:59 作者: 現(xiàn)實 時間: 2025-3-27 17:33
Conference proceedings 2015l Workshop on Video Segmentation in Computer Vision, the Workshop: My Car Has Eyes: Intelligent Vehicle with Vision Technology, the Third Workshop on E-Heritage, and the Workshop on Computer Vision for Affective Computing. LNCS 9010 contains the papers selected for the Workshop on Feature and Simila作者: BIDE 時間: 2025-3-27 18:11 作者: novelty 時間: 2025-3-27 22:13 作者: 鉗子 時間: 2025-3-28 04:40
Spectral Shape Decomposition by Using a Constrained NMF Algorithmken into account. Starting from a contaminated observation matrix, the objective is to reveal its low rank almost block diagonal form. Although the proposed technique is applied to shapes on the MPEG7 database, it can be extended to 3D objects. The preliminary results we have obtained are very promising.作者: 織布機 時間: 2025-3-28 07:02 作者: 無法治愈 時間: 2025-3-28 11:55
The Cultural Sociology of Art and Musicto the best matched PSF, where the transformation for each PSF is learned in the training stage. Experimental results on the FERET database show the proposed method achieve comparable performance against the state-of-the-art blur-invariant face recognition methods, such as LPQ and FADEIN.作者: Systemic 時間: 2025-3-28 17:45
The Cultural Sociology of Art and Musicghting the visual features on the basis of their appropriateness for each concept pair. Experiments demonstrated that the proposed method outperformed a method using only a single kind of visual feature and one combining multiple kinds of features with a fixed weight.作者: athlete’s-foot 時間: 2025-3-28 18:45 作者: Ige326 時間: 2025-3-29 02:15 作者: crumble 時間: 2025-3-29 04:40
https://doi.org/10.1007/978-3-030-27025-4tudy the performance of the proposed method. These experiments demonstrate much improvement over the state-of-the-art algorithms that are either based on label propagation or semi-supervised graph-based embedding.作者: SKIFF 時間: 2025-3-29 08:12
Corporate Culture Out of Control?,istance to the assigned codeword before aggregating them as part of the encoding process. Using the VLAD feature encoder, we show experimentally that our proposed optimized power normalization method and local descriptor weighting method yield improvements on a standard dataset.作者: 事先無準備 時間: 2025-3-29 15:09
Blur-Robust Face Recognition via Transformation Learningto the best matched PSF, where the transformation for each PSF is learned in the training stage. Experimental results on the FERET database show the proposed method achieve comparable performance against the state-of-the-art blur-invariant face recognition methods, such as LPQ and FADEIN.作者: 舞蹈編排 時間: 2025-3-29 18:11 作者: endure 時間: 2025-3-29 20:55 作者: CLAP 時間: 2025-3-30 03:04 作者: 擔心 時間: 2025-3-30 07:16
A Flexible Semi-supervised Feature Extraction Method for Image Classificationtudy the performance of the proposed method. These experiments demonstrate much improvement over the state-of-the-art algorithms that are either based on label propagation or semi-supervised graph-based embedding.作者: 天氣 時間: 2025-3-30 11:10
Feature Learning for the Image Retrieval Taskistance to the assigned codeword before aggregating them as part of the encoding process. Using the VLAD feature encoder, we show experimentally that our proposed optimized power normalization method and local descriptor weighting method yield improvements on a standard dataset.作者: 預防注射 時間: 2025-3-30 13:19
Conference proceedings 2015nction with the 12th Asian Conference on Computer Vision, ACCV 2014, in Singapore, in November 2014. The 153 full papers presented were selected from numerous submissions. LNCS 9008 contains the papers selected for the Workshop on Human Gait and Action Analysis in the Wild, the Second International 作者: 虛度 時間: 2025-3-30 19:09 作者: 行乞 時間: 2025-3-30 21:26
Christian Humanism and the Jewsfalse identification of tumors. For tumor classification, we used GLCM based textural features. A sliding window is used to search over the lung parenchyma region and extract the features. Chi-Square distance measure is used to classify the tumor. The performance of GLCM features for tumor classification is evaluated with the histogram features.作者: 冷淡一切 時間: 2025-3-31 01:06
https://doi.org/10.1007/978-3-030-27025-4ns in the metric tensor. The categorization of 3D objects is carried out using polynomial kernel SVM classifier. The effectiveness of the proposed framework is demonstrated on 3D objects obtained from different datasets and achieved comparable results.作者: ABASH 時間: 2025-3-31 06:59 作者: 粗野 時間: 2025-3-31 10:38 作者: 運動吧 時間: 2025-3-31 16:05 作者: CRUC 時間: 2025-3-31 19:23 作者: Repetitions 時間: 2025-4-1 01:44
Metric Tensor and Christoffel Symbols Based 3D Object Categorizationns in the metric tensor. The categorization of 3D objects is carried out using polynomial kernel SVM classifier. The effectiveness of the proposed framework is demonstrated on 3D objects obtained from different datasets and achieved comparable results.作者: Glycogen 時間: 2025-4-1 03:52
