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Browsing CSAIL Technical Reports (July 1, 2003 - present) by Title

Research and Teaching Output of the MIT Community

Browsing CSAIL Technical Reports (July 1, 2003 - present) by Title

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  • Lynch, Nancy; Mitra, Sayan; Nolte, Tina (2005-04-06)
    We describe how a virtual node abstraction layer can be used to coordinate the motion of real mobile nodes in a region of 2-space. In particular, we consider how nodes in a mobile ad hoc network can arrange themselves along ...
  • Ni, Yuzhao; Frogner, Charles A.; Poggio, Tomaso A. (2013-09-19)
    In this thesis, we designed and implemented a crowdsourcing system to annotatemouse behaviors in videos; this involves the development of a novel clip-based video labeling tools, that is more efficient than traditional ...
  • Drake, Matthew; Hoffmann, Hank; Rabbah, Rodric; Amarasinghe, Saman (2005-10-22)
    Image and video codecs are prevalent in multimedia applications, ranging from embedded systems, to desktop computers, to high-end servers such as HDTV editing consoles. It is not uncommon however that developers create ...
  • Lynch, Nancy; Stoica, Ion (2004-02-19)
    MultiChord is a new variant of the Chord namespace management algorithm [7] that includes lightweight mechanismsfor accommodating a limited rate of change, specifically, process joins and failures. This paper describes ...
  • Mroueh, Youssef; Poggio, Tomaso; Rosasco, Lorenzo; Slotine, Jean-Jacques E. (2011-09-27)
    We study multi-category classification in the framework of computational learning theory. We show how a relaxation approach, which is commonly used in binary classification, can be generalized to the multi-class setting. ...
  • Lau, Eric; Miller, Jason E; Choi, Inseok; Yeung, Donald; Amarasinghe, Saman; Agarwal, Anant (2011-03-25)
    As the push for parallelism continues to increase the number of cores on a chip, and add to the complexity of system design, the task of optimizing performance at the application level becomes nearly impossible for the ...
  • Baldassarre, Luca; Rosasco, Lorenzo; Barla, Annalisa; Verri, Alessandro (2011-01-24)
    In this paper we study a class of regularized kernel methods for vector-valued learning which are based on filtering the spectrum of the kernel matrix. The considered methods include Tikhonov regularization as a special ...
  • Adib, Fadel; Kabelac, Zachary; Katabi, Dina (2014-04-26)
    Recently, we have witnessed the emergence of technologies that can localize a user and track her gestures based purely on radio reflections off the person's body. These technologies work even if the user is behind a wall ...
  • Bileschi, Stanley M (2008-04-09)
    Recently, several powerful image features have been proposed whichcan be described as spatial histograms of oriented energy. Forinstance, the HoG, HMAX C1, SIFT, and Shape Context feature allrepresent an input image using ...
  • Little, Anna V.; Maggioni, Mauro; Rosasco, Lorenzo (2012-09-08)
    Large data sets are often modeled as being noisy samples from probability distributions in R^D, with D large. It has been noticed that oftentimes the support M of these probability distributions seems to be well-approximated ...
  • Micali, Silvio; Vlachos, Georgios (2017-06-05)
    The revenue of traditional auction mechanisms is benchmarked solely against the players' own valuations, despite the fact that they may also have valuable beliefs about each other's valuations. Not much is known about ...
  • Beal, Jacob (2003-08-11)
    Small failures should only disrupt a small part of a network. One wayto do this is by marking the surrounding area as untrustworthy ---circumscribing the failure. This can be done with a distributedalgorithm using ...
  • Katti, Sachin; Rahul, Hariharan; Hu, Wenjun; Katabi, Dina; Crowcroft, Jon (2006-02-16)
    We propose a new architecture for wireless mesh networks. In addition to forwarding packets, routers mix (i.e., code) packets from different sources to increase the information content of each transmission. We show that ...
  • Feizi, Soheil; Duffy, Ken; Kellis, Manolis; Medard, Muriel (MIT CSAIL, 2014-12-02)
    Several models exist for diffusion of signals across biological, social, or engineered networks. However, the inverse problem of identifying the source of such propagated information appears more difficult even in the ...
  • Feizi, Soheil; Makhdoumi, Ali; Duffy, Ken; Kellis, Manolis; Medard, Muriel (2015-09-21)
    Identifying nonlinear relationships in large datasets is a daunting task particularly when the form of the nonlinearity is unknown. Here, we introduce Network Maximal Correlation (NMC) as a fundamental measure to capture ...
  • Werfel, Justin (2004-11-09)
    The zebra finch is a standard experimental system for studying learning and generation of temporally extended motor patterns. The first part of this project concerned the evaluation of simple models for the operation and ...
  • Richards, Whitman; Seung, H. Sebastian (2004-12-31)
    “Winner-take-all” networks typically pick as winners that alternative with the largest excitatory input. This choice is far from optimal when there is uncertainty in the strength of the inputs, and when information is ...
  • Mutch, Jim; Leibo, Joel Z; Smale, Steve; Rosasco, Lorenzo; Poggio, Tomaso (2010-12-31)
    Neurons in inferotemporal cortex that respond similarly to many pairs of mirror-symmetric images -- for example, 45 degree and -45 degree views of the same face -- have often been reported. The phenomenon seemed to be an ...
  • Pass, Rafael; Vaikuntanathan, Vinod (2008-04-16)
    We introduce new and general complexity theoretic hardness assumptions. These assumptions abstract out concrete properties of a random oracle and are significantly stronger than traditional cryptographic hardness assumptions; ...
  • Karger, David; Ruhl, Matthias (2003-07-16)
    Load balancing is a critical issue for the efficient operation of peer-to-peer networks. We give new protocols for several scenarios, whose provable performance guarantees are within a constant factor of optimal. First, ...
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