Now showing items 561-580 of 1130

    • Kuafu--annotate and search for images on the Web 

      Xu, Zhonghui, 1968- (Massachusetts Institute of Technology, 1997)
    • Language & tools for context-aware biology 

      Fracchia, Charles (Charles Victor) (Massachusetts Institute of Technology, 2014)
      Current biological research workflows make use of disparate, poorly integrated systems that cause large mental burden on the scientist leading to mistakes on often long, complex and costly experimental procedures. The lack ...
    • A language-based approach to categorical analysis 

      Marlow, Cameron Alexander, 1977- (Massachusetts Institute of Technology, 2001)
      With the digitization of media, computers can be employed to help us with the process of classification, both by learning from our behavior to perform the task for us and by exposing new ways for us to think about our ...
    • Large group musical interaction using disposable wireless motion sensors 

      Feldmeier, Mark Christopher, 1974- (Massachusetts Institute of Technology, 2003)
      One of the difficulties in interactive music and entertainment is creating environments that reflect and react to the collective activity of groups with tens, hundreds, or even thousands of participants. Generating content ...
    • Laser direct-write fabrication of MEMS 

      Patil, Prashant(Prashant Tarachand) (Massachusetts Institute of Technology, 2019)
      Micro-electromechanical systems (MEMS) have many applications in healthcare, consumer electronics, and automobile industry. Unfortunately, the development of novel MEMS is significantly hindered by the limitations of the ...
    • Layout understanding : a knowledge-based approach 

      Krishna, Bagepalli C. (Bagepalli Cheluva) (Massachusetts Institute of Technology, 1994)
    • LearnAir : toward intelligent, personal air quality monitoring 

      Ramsay, David B. (David Bradford) (Massachusetts Institute of Technology, 2016)
      Air pollution is responsible for :1/8 of deaths around the world. While the importance of air quality has led to a boom in inexpensive air sensors, studies have shown that the status quo of sparse, fixed sensors cannot ...
    • Learning commonsense human-language descriptions from temporal and spatial sensor-network data 

      Morgan, Bo (Massachusetts Institute of Technology, 2006)
      Embedded-sensor platforms are advancing toward such sophistication that they can differentiate between subtle actions. For example, when placed in a wristwatch, such platforms can tell whether a person is shaking hands or ...
    • Learning discriminative models with incomplete data 

      Kapoor, Ashish, 1977- (Massachusetts Institute of Technology, 2006)
      Many practical problems in pattern recognition require making inferences using multiple modalities, e.g. sensor data from video, audio, physiological changes etc. Often in real-world scenarios there can be incompleteness ...
    • Learning force fields for limb control in character animation 

      Grimes, Matthew Koichi, 1977- (Massachusetts Institute of Technology, 2003)
      This work applies vector-field-based limb control to physically simulated character animation. Vector fields of joint torques, defined over joint angle space, have been shown in the neuroscience literature to be able to ...
    • Learning hierarchical motif embeddings for protein engineering 

      Karydis, Thrasyvoulos (Massachusetts Institute of Technology, 2017)
      This thesis lays the foundation for an integrated machine learning framework for the evolutionary analysis, search and design of proteins, based on a hierarchical decomposition of proteins into a set of functional motif ...
    • Learning in MarketPlace : economic objects to think with and talk about 

      Kimberly, Gregory Alan (Massachusetts Institute of Technology, 1995)
    • Learning material for constructing environmental understanding 

      Echaniz Pellicer, Georgina, 1976- (Massachusetts Institute of Technology, 2003)
      Environmental acknowledgement or awareness by itself does not necessarily implicate that people have understood the causes, effects and impact of environmental issues. Understanding and critically thinking about environmental ...
    • Learning plan networks in conversational video games 

      Orkin, Jeffrey David (Massachusetts Institute of Technology, 2007)
      We look forward to a future where robots collaborate with humans in the home and workplace, and virtual agents collaborate with humans in games and training simulations. A representation of common ground for everyday ...
    • Learning the meaning of music 

      Whitman, Brian A. (Brian Alexander) (Massachusetts Institute of Technology, 2005)
      Expression as complex and personal as music is not adequately represented by the signal alone. We define and model meaning in music as the mapping between the acoustic signal and its contextual interpretation - the 'community ...
    • Learning visual behavior for gesture analysis 

      Wilson, Andrew David (Massachusetts Institute of Technology, 1995)
    • Learning with data : a toolkit to democratize the computational exploration of data 

      Dasgupta, Sayamindu (Massachusetts Institute of Technology, 2012)
      This thesis explores the space of programming with data, focusing on the data-ecosystem opened up by the Internet and Cloud technologies. The central argument of this thesis is that the act of democratizing programmatic ...
    • Leave any noise at the signal : participation art online 

      Frid-Jimenez, Amber (Massachusetts Institute of Technology, 2007)
      Online participatory media holds the promise of activating otherwise passive audiences by providing spaces that encourage creative collaboration among diverse participants. The thesis traces the history of participation ...
    • Lens x block : World as construction kit 

      Silver, Jay (Jay Saul) (Massachusetts Institute of Technology, 2014)
      Purpose and meaning of the physical world can be re-assigned and re-made by individuals as they go rather than being pre-fixed by people who came before them. But this mindset is more rare than it should be if we want an ...
    • Lensing Machines : representing perspective in machine learning 

      Dinakar, Karthik (Massachusetts Institute of Technology, 2017)
      Generative models are venerated as full probabilistic models that randomly generate observable data given a set of latent variables that cannot be directly observed. They can be used to simulate values for variables in the ...