开课单位--德克萨斯大学

31
Reading Between The Lines: Object Localization Using Implicit Cues from Image Tags[在基线之间阅读:使用图像标签中的隐式线索进行对象定位]
  Sung Ju Hwang(德克萨斯大学) Current uses of tagged images typically exploit only the most explicit information: the link between the nouns named and the objects present somewhere...
热度:23

32
Object-Graphs for Context-Aware Category Discovery[用于上下文感知类别发现的对象图]
  Yong Jae Lee(德克萨斯大学) How can knowing about some categories help us to dis- cover new ones in unlabeled images? Unsupervised visual category discovery is useful to mine for...
热度:20

33
Shape Sharing for Object Segmentation[对象分割的形状共享]
  Tinne Tuytelaars, Jaechul Kim, Serge J. Belongie(德克萨斯大学) We introduce a category-independent shape prior for object segmentation. Existing shape priors assume class-specific knowledge, and thus are restricte...
热度:39

34
Learning to Disambiguate Search Queries from Short Sessions[从短会话学习消除歧义的搜索查询]
  Lilyana Mihalkova(德克萨斯大学) Web searches tend to be short and ambiguous. It is therefore not surprising that Web query disambiguation is an actively researched topic. To provide ...
热度:50

35
Abductive Plan Recognition by Extending Bayesian Logic Programs[通过扩展贝叶斯逻辑程序识别诱导计划]
  Sindhu Raghavan(德克萨斯大学) Plan recognition is the task of predicting an agent’s top-level plans based on its observed actions. It is an abductive reasoning task that invo...
热度:43

36
Discriminative Structure and Parameter Learning for Markov Logic Networks[马尔可夫逻辑网络的识别结构与参数学习]
  Tuyen Ngoc Huynh(德克萨斯大学) Markov logic networks (MLNs) are an expressive representation for statistical relational learning that generalizes both first-order logic and graphica...
热度:82

37
Everything You Know About Homo sapiens is Wrong: The Revolutionary Implications of Cognitive Ethology[你所知道的关于智人的一切都是错误的:认知行为学的革命性含义 ]
  Steven Best(德克萨斯大学) As humans continue to explore their evolutionary past and gain a more accurate knowledge of the intelligence of great apes and other animals, as they ...
热度:51

38
A Scalable Framework for Discovering Coherent Co-clusters in Noisy Data[一种用于在噪声数据中发现相干共聚类的可扩展框架]
  Meghana Deodhar(德克萨斯大学) Clustering problems often involve datasets where only a part of the data is relevant to the problem, e.g., in microarray data anal- ysis only a subset...
热度:70

39
Matrix Computations in Machine Learning[机器学习中的矩阵计算]
  Inderjit S. Dhillon(德克萨斯大学) Matrix Computations are ubiquitous in all areas of science and engineering. In this talk, I will first survey some traditional problems in matrix comp...
热度:194

40
Words as reflections of psychological state[言语是心理状态的反映 ]
  James W. Pennebaker(德克萨斯大学) Pennebaker’s research explores the links between traumatic experiences, expressive writing, natural language use, and physical and mental health...
热度:50