图 书 馆开课单位--德克萨斯大学
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21S-means: similarity driven clustering and its application in gravitational-wave astronomy data mining[S-手段：相似驱动聚类在引力波天文学数据挖掘应用]
Lappoon R. Tang(德克萨斯大学) Clustering is to classify unlabeled data into groups. It has been wellresearched for decades in many disciplines. Clustering in massive amount of astr...
热度：29
Lappoon R. Tang(德克萨斯大学) Clustering is to classify unlabeled data into groups. It has been wellresearched for decades in many disciplines. Clustering in massive amount of astr...
热度：29
22Differentiating Code from Data in x86 Binaries[在x86二进制文件中区分代码与数据]
Richard Wartell(德克萨斯大学) Robust, static disassembly is an important part of achieving high coverage for many binary code analyses, such as reverse engineering, malware analysi...
热度：54
Richard Wartell(德克萨斯大学) Robust, static disassembly is an important part of achieving high coverage for many binary code analyses, such as reverse engineering, malware analysi...
热度：54
23Single Data, Multiple Clusterings[单一数据，多重聚类 ]
Sajib Dasgupta(德克萨斯大学) There has been extensive research in the clustering community on formalizing the definition of the quality of a given data clustering. However, is it ...
热度：108
Sajib Dasgupta(德克萨斯大学) There has been extensive research in the clustering community on formalizing the definition of the quality of a given data clustering. However, is it ...
热度：108
24Pseudo-Label Generation for Multi-Label Text Classification[多标签文本分类的伪标签生成]
Latifur Khan(德克萨斯大学) With the advent and expansion of social networking, the amount of generated text data has seen a sharp increase. In order to handle such a huge volume...
热度：108
Latifur Khan(德克萨斯大学) With the advent and expansion of social networking, the amount of generated text data has seen a sharp increase. In order to handle such a huge volume...
热度：108
25Learning to Sportscast: A Test of Grounded Language Acquisition[学习体育节目：扎根语言测试]
David L. Chen(德克萨斯大学) We present a novel commentator system that learns language from sportscasts of simulated soccer games. The system learns to parse and generate comment...
热度：34
David L. Chen(德克萨斯大学) We present a novel commentator system that learns language from sportscasts of simulated soccer games. The system learns to parse and generate comment...
热度：34
26NERO 2.0: Neuro Evolving Robotic Operatives[NERO2.0：神经演变机器人操作工]
Igor Karpov;Thomas Nelson(德克萨斯大学) This demonstrates the NERO real-time strategy game and the capabilities of its agents. The technology involves neuroevolution.
热度：71
Igor Karpov;Thomas Nelson(德克萨斯大学) This demonstrates the NERO real-time strategy game and the capabilities of its agents. The technology involves neuroevolution.
热度：71
27The Pyramid Match Kernel: Efficient Learning with Sets of Features[“塔式匹配内核”：有效的学习功能集]
Kristen Grauman(德克萨斯大学)
热度：40
Kristen Grauman(德克萨斯大学)
热度：40
28Best Paper - Information-Theoretic Metric Learning[最佳论文 - 信息理论度量学习]
Brian Kulis(德克萨斯大学) In this paper, we present an information-theoretic approach to learning a Mahalanobis distance function. We formulate the problem as that of minimizin...
热度：204
Brian Kulis(德克萨斯大学) In this paper, we present an information-theoretic approach to learning a Mahalanobis distance function. We formulate the problem as that of minimizin...
热度：204
29Intelligent File Scoring System for Malware Detection from the Gray List[从灰名单的恶意软件检测智能文件评分系统]
Chris Ding(德克萨斯大学) Currently, the most significant line of defense against malware is anti-virus products which focus on authenticating valid software from a white list,...
热度：28
Chris Ding(德克萨斯大学) Currently, the most significant line of defense against malware is anti-virus products which focus on authenticating valid software from a white list,...
热度：28
30Graph Evolution via Social Diffusion Processes[通过社会扩散过程的图形演化]
Chris Ding(德克萨斯大学) We present a new stochastic process, called as Social Diffusion Process (SDP), to address the graph modeling. Based on this model, we derive a graph e...
热度：30
Chris Ding(德克萨斯大学) We present a new stochastic process, called as Social Diffusion Process (SDP), to address the graph modeling. Based on this model, we derive a graph e...
热度：30