"

欢迎来到br88冠亚娱乐(yabovip6666.cn)全新升级娱乐网站。br88冠亚娱乐综合各种在线游戏于一站式的大型游戏平台,经营多年一直为大家提供安全稳定的游戏环境,br88冠亚娱乐致力于提供全球客户有价值的游戏,为用户提供优质服务。

<address id="v9vhl"><var id="v9vhl"></var></address>

      <sub id="v9vhl"></sub>

      <sub id="v9vhl"><dfn id="v9vhl"><output id="v9vhl"></output></dfn></sub>

      <sub id="v9vhl"><dfn id="v9vhl"></dfn></sub>

          <address id="v9vhl"></address>
          <sub id="v9vhl"><delect id="v9vhl"><ins id="v9vhl"></ins></delect></sub>

          <address id="v9vhl"></address>

            <address id="v9vhl"><dfn id="v9vhl"></dfn></address><sub id="v9vhl"><var id="v9vhl"></var></sub>
            <address id="v9vhl"><dfn id="v9vhl"></dfn></address>

            <address id="v9vhl"></address>

            <address id="v9vhl"><dfn id="v9vhl"></dfn></address>
            <sub id="v9vhl"><var id="v9vhl"></var></sub>

              <sub id="v9vhl"><dfn id="v9vhl"><ins id="v9vhl"></ins></dfn></sub>
              <thead id="v9vhl"><var id="v9vhl"><output id="v9vhl"></output></var></thead>
              <address id="v9vhl"><dfn id="v9vhl"></dfn></address>

              "
              新聞公告
              您當前位置: 學院br88冠亚娱乐 > 通知公告 > 正文

              “第二屆經緯青年學者論壇”學術報告

              2019年09月05日 17:10  點擊:[]

              第二屆經緯青年學者論壇學術報告


              報告時間:2019年9月6日(星期五)上午9:10

              報告地點:臨潼校區計算機科學學院618報告廳

              報告:Ranking Preserving Nonnegative Matrix Factorization

              報告人:王晶(日本東京大學博士后)

              報告內容:Nonnegative matrix factorization (NMF), a well-known technique to find parts-based representations of nonnegative data, has been widely studied. In reality, ordinal relations often exist among data,such as dataiis more related tojthan toq. Such relative order is naturally available, and more importantly, it truly reflects the latent data structure. Preserving the ordinal relations enables us to find structured representations of data that are faithful to the relative order, so that the learned representations become more discriminative. However, this cannot be achieved by current NMFs. In thispresentation,Dr. Wangmake the attempt towards incorporating the ordinal relations and propose a novel ranking preserving nonnegative matrix factorization (RPNMF) approach, which enforces the learned representations to be ranked according to the relations.Shederive iterative updating rules to solve RPNMF’s objective function with convergence guaranteed. Experimental results with several datasets for clustering and classification have demonstrated that RPNMF achieves greater performance against the state-of-the-arts, not only in terms of accuracy, but also interpretation of orderly data structure.

              報告:Brief talk about VRandAR

              報告人:馬弘霖(麻省理工大學博士br88冠亚娱乐br88冠亚娱乐,現任蘋果公司高級工程師)

              報告內容:In recent years,VR technology develop rapidly.The virtual realityis widely used in our daily life.Dr. Mawillintroduce how VR technology can change people's daily lives, especially in education, medical care, tourism, and others insights that have changed which could influenced us. And how we develop our own VR hardware software products. Similarly, we use VR an technologies together to develop new technology products that change traditional industries.

              報告:Hyperbolic Space for Hierarchical Data Embedding

              報告人:Atsushi Suzuki(日本東京大學博士生)

              報告內容:Embedding refers to a map from a object set to a space, with additional information preserved. Here, additional information includes an edge set in graph embedding setting and a distance matrix in metric multi-dimensional scaling. Although existing approaches have preserved such additional information in Euclidean space, whether Euclidean space is compatible with true data structure is largely ignored. which is essential to effective embedding. Since real data often exhibit hierarchical structure, it is hard for Euclidean space approaches to achieve effective embeddings in low dimensionality, which incurs high computational complexity or overfitting. Recent work has solved this problem by using hyperbolic space. In presentation,Mr. Suzukibriefly explain some basic properties of hyperbolic space, and how hyperbolic space works on embedding of hierarchical data.

              歡迎教師及學生積極參加br88冠亚娱乐!

              計算機科學學院

              2019年9月4日

              報告人簡介:王晶,現任日本東京大學博士后,研究領域包括機器學習,數據挖掘,專攻降維,聚類,多視角學習等。2018年1月于英國伯恩茅斯取得博士學位。在此之前br88冠亚娱乐,于香港城市大學取得多媒體資訊科技碩士學位br88冠亚娱乐。博期間以訪問學生身份訪問法國蒙彼利埃第二大學,美國紐約大學 和 以EU Marie Curie訪問學者身份訪問了澳大利亞查爾斯特大學br88冠亚娱乐。 博士期間憑借其研究成果獲得全英“2017 ABTA Doctoral research award”工程自然科學類第二名。 目前共發表論文近20篇br88冠亚娱乐,其中包括CCF-A類會議AAAI 2019, IJCAI 2019,2018,2017,KDD 2019以及JCR-1區期刊IEEE transactions on Cybernetics, IEEE transactions on Image Processing等。并擔任國際期刊及會議審稿人,包括AAAI 2020, 2019, TKDE, TIP, IEEE access等。

              馬弘霖,博士br88冠亚娱乐br88冠亚娱乐。2010年獲得麻省理工大學博士學位,現任蘋果公司高級工程師職位;主要從事人工智能VR,AR可穿戴設備方面的研究工作, 在可穿戴設備方面取得了一系列豐富的科研成果。其中br88冠亚娱乐,以第一作者身份發表論文6篇;申請專利5項,其中發明專利2項,授權實用新型專利3項br88冠亚娱乐;參與美國宇航員培訓系統等項目的研究工作br88冠亚娱乐。

              Atsushi Suzuki (鈴木 惇), who is a third-year JSPS funded phd student in the graduate school of information science and technology of the University of Tokyo. Previous to that, he obtained both master and bachelor degrees from the same university. His research mainly focuses on deep learning, tensor factorization, information theory, statistics and so on.He has published several papers in top conferences, including ICDM, ISIT, AAAI, IJCAI, etc.

              上一條:計算機科學學院2020年碩士研究生招生調劑工作安排

              下一條:計算機科學學院2019屆優秀畢業生、優秀畢業生干部評定結果公示

              關閉

              Copyright(c)2016 西安工程大學計算機科學學院 地址:中國·西安·臨潼區·陜鼓大道58號[710600]
              聯系我們:webmaster@xpu.edu.cn 陜ICP備022000
              br88冠亚娱乐
              <address id="v9vhl"><var id="v9vhl"></var></address>

                  <sub id="v9vhl"></sub>

                  <sub id="v9vhl"><dfn id="v9vhl"><output id="v9vhl"></output></dfn></sub>

                  <sub id="v9vhl"><dfn id="v9vhl"></dfn></sub>

                      <address id="v9vhl"></address>
                      <sub id="v9vhl"><delect id="v9vhl"><ins id="v9vhl"></ins></delect></sub>

                      <address id="v9vhl"></address>

                        <address id="v9vhl"><dfn id="v9vhl"></dfn></address><sub id="v9vhl"><var id="v9vhl"></var></sub>
                        <address id="v9vhl"><dfn id="v9vhl"></dfn></address>

                        <address id="v9vhl"></address>

                        <address id="v9vhl"><dfn id="v9vhl"></dfn></address>
                        <sub id="v9vhl"><var id="v9vhl"></var></sub>

                          <sub id="v9vhl"><dfn id="v9vhl"><ins id="v9vhl"></ins></dfn></sub>
                          <thead id="v9vhl"><var id="v9vhl"><output id="v9vhl"></output></var></thead>
                          <address id="v9vhl"><dfn id="v9vhl"></dfn></address>