Institution
Samsung
Company•Seoul, South Korea•
About: Samsung is a company organization based out in Seoul, South Korea. It is known for research contribution in the topics: Layer (electronics) & Signal. The organization has 134067 authors who have published 163691 publications receiving 2057505 citations. The organization is also known as: Samsung Group & Samsung chaebol.
Papers published on a yearly basis
Papers
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30 Apr 2014TL;DR: In this paper, a method for configuring one or multiple pools of D2D communication resources by an eNodeB (eNB) is presented, where the first UE is configured to transmit D2DM messages.
Abstract: A method includes configuring one or multiple pools of Device-to-Device (D2D) communication resources by an eNodeB (eNB). The method also includes signaling of the configured pool(s) of D2D communication resources by the eNB to a first User Equipment (UE) and a plurality of UEs using a common broadcast channel; and sending a request for one or multiple D2D communication resources to an eNB by the first UE configured to transmit D2D messages. The method also includes determining one or multiple resources for D2D communication by an eNB for the first UE. The method also includes communicating D2D resource allocation information to the first UE.
219 citations
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TL;DR: Wang et al. as mentioned in this paper proposed a feature learning framework for hyperspectral images spectral-spatial feature representation and classification, which learns a latent low dimensional subspace by projecting the spectral and spatial feature into a common feature space, where the complementary information has been effectively exploited.
Abstract: In hyperspectral remote sensing data mining, it is important to take into account of both spectral and spatial information, such as the spectral signature, texture feature, and morphological property, to improve the performances, e.g., the image classification accuracy. In a feature representation point of view, a nature approach to handle this situation is to concatenate the spectral and spatial features into a single but high dimensional vector and then apply a certain dimension reduction technique directly on that concatenated vector before feed it into the subsequent classifier. However, multiple features from various domains definitely have different physical meanings and statistical properties, and thus such concatenation has not efficiently explore the complementary properties among different features, which should benefit for boost the feature discriminability. Furthermore, it is also difficult to interpret the transformed results of the concatenated vector. Consequently, finding a physically meaningful consensus low dimensional feature representation of original multiple features is still a challenging task. In order to address these issues, we propose a novel feature learning framework, i.e., the simultaneous spectral-spatial feature selection and extraction algorithm, for hyperspectral images spectral-spatial feature representation and classification. Specifically, the proposed method learns a latent low dimensional subspace by projecting the spectral-spatial feature into a common feature space, where the complementary information has been effectively exploited, and simultaneously, only the most significant original features have been transformed. Encouraging experimental results on three public available hyperspectral remote sensing datasets confirm that our proposed method is effective and efficient.
219 citations
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18 Mar 2015219 citations
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21 Jul 2001TL;DR: In this article, a method for providing user interfaces in a first network to a remote access device, including first devices interconnected via a communication medium, and at least one interface device for communication with the remote access devices, was proposed.
Abstract: A method for providing user interfaces in a first network to a remote access device, the first network including first devices interconnected via a communication medium, and at least one interface device for communication with the remote access device, the user interfaces for controlling the devices that are currently connected to the first network The remote access device establishes communication with the first network via the interface device; the remote access device sends a request to the interface device for accessing the first network; at least one of the first devices in the first network obtains information from one or more of said first devices currently connected to the first network, said information including device information, and generating a user interface description including at least one reference associated with the device information of each of said one or more first devices; the interface device sends the user interface description to the remote access device; and the remote access device displays a user interface based on the user interface description, for user interaction with the first network
219 citations
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17 Feb 2003TL;DR: In this paper, a radio network controller transmits a power offset for controlling transmission power of an uplink high speed dedicated physical control channel (HS-DPCCH) when a user equipment (UE) enters a handover region, in a mobile communication system including the RNC, a Node B connected to the RNC and the UE located in one of at least two cell areas occupied by the Node B.
Abstract: A radio network controller (RNC) transmits a power offset for controlling transmission power of an uplink high speed dedicated physical control channel (HS-DPCCH) when a user equipment (UE) enters a handover region, in a mobile communication system including the RNC, a Node B connected to the RNC, and the UE located in one of at least two cell areas occupied by the Node B. The Node B transmits data to the UE over a high speed downlink shared channel (HS-DSCH) and the UE transmits information indicating reception of the data to the Node B over the uplink HS-DPCCH. The RNC informs the UE of a power offset for determining a transmission power increment of the uplink HS-DPCCH, if it is determined that the UE is located in the handover region. The RNC informs the Node B of the power offset so that the Node B can determine a threshold value for determining information indicating reception of the data, depending on the power offset.
218 citations
Authors
Showing all 134111 results
Name | H-index | Papers | Citations |
---|---|---|---|
Yi Cui | 220 | 1015 | 199725 |
Hyun-Chul Kim | 176 | 4076 | 183227 |
Hannes Jung | 159 | 2069 | 125069 |
Yongsun Kim | 156 | 2588 | 145619 |
Yu Huang | 136 | 1492 | 89209 |
Robert W. Heath | 128 | 1049 | 73171 |
Shuicheng Yan | 123 | 810 | 66192 |
Shi Xue Dou | 122 | 2028 | 74031 |
Young Hee Lee | 122 | 1168 | 61107 |
Alan L. Yuille | 119 | 804 | 78054 |
Yang-Kook Sun | 117 | 781 | 58912 |
Sang Yup Lee | 117 | 1005 | 53257 |
Guoxiu Wang | 117 | 654 | 46145 |
Richard G. Baraniuk | 107 | 770 | 57550 |
Jef D. Boeke | 106 | 456 | 52598 |