Now showing items 1-9 of 9

    • A Bayesian model for image sense ambiguity in pictorial communication systems 

      Rosin, Jake; Goldberg, Andrew B.; Zhu, Xiaojin; Dyer, Charles (University of Wisconsin-Madison Department of Computer Sciences, 2011)
      Pictorial communication systems use synthesized pictures, rather than text, to communicate with users. Because such systems depend on images to convey meanings, it is critical to understand how a human user perceives ...
    • Document Recovery from Bag-of-Word Indices 

      Fillmore, Nathanael; Goldberg, Andrew B.; Zhu, Xiaojin (University of Wisconsin-Madison Department of Computer Sciences, 2008)
      Motivated by computer privacy issues, we present the novel problem of document recovery from an index: given only a document's bag-of-words (BOW) vector or other type of index, reconstruct the original ordered document. ...
    • Dragging: Density-Ratio Bagging 

      Zhu, Xiaojin; Tan, Yimin (2013-06-06)
      We propose density-ratio bagging (dragging), a semi-supervised extension of bootstrap aggregation (bagging) method. Additional unlabeled training data are used to calculate the weight on each labeled training point by a ...
    • Estimating GPU Speedups for Programs Without Writing a Single Line of GPU Code 

      Ardalani, Newsha; Sankaralingam, Karthikeyan; Zhu, Xiaojin (2014-08-15)
      Heterogeneous processing using GPUs is here to stay and today spans mobile devices, laptops, and supercomputers. Although modern software development frameworks like OpenCL and CUDA serve as a high productivity ...
    • An Image-To-Speech iPad App 

      Zhu, Xiaojin; Rosin, Jake; Jun, Kwang-Sung; Dyer, Charles R.; Maynord, Michael; Tiachunpun, Jitrapon (University of Wisconsin-Madison Department of Computer Sciences, 2012-07-26)
      We describe an iPad app which assists in language acquisition and development. Such an application can be used by clinicians for human developmental disabilities. A user drags images around on the screen. The app generates ...
    • The Multimodal Focused Topic Model: A Nonparametric Bayesian Approach to Simultaneous Object Classification and Attribute Discovery 

      Zhu, Xiaojin; Dyer, Charles R.; Rosin, Jake (2012-01)
      A nonparametric Bayesian model for attribute-based object recognition and image-based class attribute inference is presented. This model draws on existing work in Bayesian nonparametrics such as the focused topic model. ...
    • Semi-supervised Regression with Order Preferences 

      Zhu, Xiaojin; Goldberg, Andrew (University of Wisconsin-Madison Department of Computer Sciences, 2006)
      Following a discussion on the general form of regularization for semi-supervised learning, we propose a semi-supervised regression algorithm. It is based on the assumption that we have certain order preferences on unlabeled ...
    • Some Submodular Data-Poisoning Attacks on Machine Learners 

      Mei, Shike; Zhu, Xiaojin (2017-03-08)
      We study data-poisoning attacks using a machine teaching framework. For a family of NP-hard attack problems we pose them as submodular function maximization, thereby inheriting efficient greedy algorithms with theoretical ...
    • To Join or Not to Join? Thinking Twice about Joins before Feature Selection 

      Kumar, Arun; Naughton, Jeffrey; Patel, Jignesh M.; Zhu, Xiaojin (2015-11-27)
      Closer integration of machine learning (ML) with data processing is a booming area in both the data management industry and academia. Almost all ML toolkits assume that the input is a single table, but many datasets are ...