Results 141 to 150 of about 2,954,755 (181)

Depth Estimation Via Stage Classification

2008 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video, 2008
We identify scene categorization as the first step towards efficient and robust depth estimation from single images. Categorizing the scene into one of the geometric classes greatly reduces the possibilities in subsequent phases. To that end, we introduce 15 typical 3D scene geometries, called stages, each having a unique depth profile and roughly ...
Nedović, V., Smeulders, A.W.M., Redert, A., Geusebroek, J.M.   +3 more
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Classification Via Simplicial Learning

2020 IEEE International Conference on Image Processing (ICIP), 2020
Dictionary learning for sparse representations is generative in nature, hence discriminative modifications are commonly observed for classification problems. Classical dictionary learning bears a fundamental problem of not being capable of distinguishing two different classes lying on the same subspace, that cannot be resolved by any discriminative ...
Yigit Oktar, Mehmet Turkan
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3D Classification Via Structural Prototypes

2007
We describe a 3D shape classification framework, and discuss the performance of selective and creative prototypes extracted from structural descriptors.
Biasotti S, Giorgi D, Marini S, Spagnuolo M, Falcidieno B   +4 more
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Living-Skin Classification via Remote-PPG

IEEE Transactions on Biomedical Engineering, 2017
Detecting living-skin tissue in a video on the basis of induced color changes due to blood pulsation is emerging for automatic region of interest localization in remote photoplethysmography (rPPG). However, the state-of-the-art method performing unsupervised living-skin detection in a video is rather time consuming, which is mainly due to the high ...
Wang, W., Stuijk, S., de Haan, G.
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Classification via atomic representation

2015 IEEE 2nd International Conference on Cybernetics (CYBCONF), 2015
This paper provides a novel and unified framework of representation based classification technique. The proposed atomic representation based classification (ARC) framework includes, but not limited to, sparse representation based classification (SRC), low-rank representation based classification (LRRC) as special cases.
Yulong Wang, Y.Y. Tang, Lina Yang, Huiwu Luo, Haoliang Yuan, Xianwei Zheng, Jianjia Pan   +6 more
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Web Genre Classification via Hierarchical Multi-label Classification

2015
The increase of the number of web pages prompts for improvement of the search engines. One such improvement can be by specifying the desired web genre of the result web pages. This opens the need for web genre prediction based on the information on the web page.
Madjarov, Gjorgji, Vidulin, Vedrana, Dimitrovski, Ivica, Kocev, Dragi   +3 more
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Glioma Grade Classification via Omics Imaging

Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies, 2020
Omics imaging is an emerging interdisciplinary field concerned with the integration of data collected frombiomedical images and omics experiments. Bringing together information coming from different sources, itpermits to reveal hidden genotype-phenotype relationships, with the aim of better understanding the onsetand progression of many diseases, and ...
L Maddalena, I Granata, I Manipur, Mario Manzo, M R. Guarracino   +4 more
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Hyperspectral Imagery Classification via Stochastic HHSVMs

IEEE Transactions on Image Processing, 2019
Hyperspectral imagery (HSI) has shown promising results in real-world applications. However, the technological evolution of optical sensors poses two main challenges in HSI classification: 1) the spectral band is usually redundant and noisy and 2) HSI with millions of pixels has become increasingly common in real-world applications.
Weiwei Liu, Xiaobo Shen, Bo Du, Ivor W. Tsang, Wenjie Zhang, Xuemin Lin   +5 more
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Boosting text segmentation via progressive classification

Knowledge and Information Systems, 2007
A novel approach for reconciling tuples stored as free text into an existing attribute schema is proposed. The basic idea is to subject the available text to progressive classification, i.e., a multi-stage classification scheme where, at each intermediate stage, a classifier is learnt that analyzes the textual fragments not reconciled at the end of the
Cesario Eugenio, Folino Francesco Paolo, Locane Antonio, Manco Giuseppe, Ortale Riccardo   +4 more
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Application identification via network traffic classification

2017 International Conference on Computing, Networking and Communications (ICNC), 2017
Recent developments in Internet technology have led to an increased importance of network traffic classification. In this study, we used machine-learning methods for the identification of applications using network traffic classification. Contrary to existing studies, which classify applications into categories like FTP, Instant Messaging, etc., we ...
Karsligil, M. E., YAMANSAVASCILAR, Baris, YAVUZ, Ali Gökhan, GÜVENSAN, Mehmet Amaç   +3 more
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