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Browsing Electrical Engineering and Computer Sciences - Ph.D. / Sc.D. by Title

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Browsing Electrical Engineering and Computer Sciences - Ph.D. / Sc.D. by Title

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  • Beal, Jacob Stuart Michael (Massachusetts Institute of Technology, 2007)
    Human intelligence is a product of cooperation among many different specialists. Much of this cooperation must be learned, but we do not yet have a mechanism that explains how this might happen for the "high-level" agile ...
  • Gartheeban, Ganeshapillai (Massachusetts Institute of Technology, 2014)
    Much of modern financial theory is based upon the assumption that a portfolio containing a diversified set of equities can be used to control risk while achieving a good rate of return. The basic idea is to choose equities ...
  • Tappen, Marshall Friend, 1976- (Massachusetts Institute of Technology, 2006)
    The goal of computer vision is to use an image to recover the characteristics of a scene, such as its shape or illumination. This is difficult because an image is the mixture of multiple characteristics. For example, an ...
  • Ma, Xiaoxu (Massachusetts Institute of Technology, 2008)
    The goal of this thesis is to build a computational system that is able to identify object categories within images. To this end, this thesis proposes a computational model of "recognition-through-decomposition-and-fusion" ...
  • Maron, Oded, 1971- (Massachusetts Institute of Technology, 1998)
  • Slonim, Donna K (Massachusetts Institute of Technology, 1996)
  • Miller, Erik G. (Erik Gundersen) (Massachusetts Institute of Technology, 2002)
    Human beings exhibit rapid learning when presented with a small number of images of a new object. A person can identify an object under a wide variety of visual conditions after having seen only a single example of that ...
  • Szummer, Marcin Olof (Massachusetts Institute of Technology, 2002)
    Classification with partially labeled data involves learning from a few labeled examples as well as a large number of unlabeled examples, and represents a blend of supervised and unsupervised learning. Unlabeled examples ...
  • Bergman, Ruth (Massachusetts Institute of Technology, 1995)
  • Wang, Xiaogang, Ph. D. Massachusetts Institute of Technology (Massachusetts Institute of Technology, 2009)
    In far-field visual surveillance, one of the key tasks is to monitor activities in the scene. Through learning motion patterns of objects, computers can help people understand typical activities, detect abnormal activities, ...
  • Finlayson, Mark (Mark Alan), 1977- (Massachusetts Institute of Technology, 2012)
    Narrative structure is an ubiquitous and intriguing phenomenon. By virtue of structure we recognize the presence of Villainy or Revenge in a story, even if that word is not actually present in the text. Narrative structure ...
  • Akavia, Adi (Massachusetts Institute of Technology, 2008)
    We present results in cryptography, coding theory and sublinear algorithms. In cryptography, we introduce a unifying framework for proving that a Boolean predicate is hardcore for a one-way function and apply it to a broad ...
  • Hemachandra, Sachithra Madhawa (Massachusetts Institute of Technology, 2015)
    As robots move into human-occupied environments, the need for effective mechanisms to enable interactions with humans becomes vital. Natural language is a flexible, intuitive medium that can enable such interactions, but ...
  • Chen, Harr (Massachusetts Institute of Technology, 2011)
    Semantic analysis is a core area of natural language understanding that has typically focused on predicting domain-independent representations. However, such representations are unable to fully realize the rich diversity ...
  • Ross, Michael G. (Michael Gregory), 1975- (Massachusetts Institute of Technology, 2005)
    This thesis describes the SANE (Segmentation According to Natural Examples) algorithm for learning to segment objects in static images from video data. SANE uses background subtraction to find the segmentation of moving ...
  • Winston, Patrick Henry (Massachusetts Institute of Technology, 1970)
  • Yeo, B. T. Thomas (Boon Thye Thomas) (Massachusetts Institute of Technology, 2010)
    In medical image analysis, registration is necessary to establish spatial correspondences across two or more images. Registration is rarely the end-goal, but instead, the results of image registration are used in other ...
  • Shakhnarovich, Gregory (Massachusetts Institute of Technology, 2006)
    The right measure of similarity between examples is important in many areas of computer science. In particular it is a critical component in example-based learning methods. Similarity is commonly defined in terms of a ...
  • Sun, Walter (Massachusetts Institute of Technology, 2005)
    The primary objective of this thesis is to develop robust algorithms for the incorporation of statistical information in the problem of estimating object boundaries in image data. We propose two primary algorithms, one ...
  • Wong, Lawson L. S. (Lawson Lok Sang) (Massachusetts Institute of Technology, 2016)
    Mobile-manipulation robots performing service tasks in human-centric indoor environments have long been a dream for developers of autonomous agents. Tasks such as cooking and cleaning typically involve interaction with the ...
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