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Research and Teaching Output of the MIT Community

Browsing CSAIL Digital Archive by Title

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  • 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 ...
  • Finlayson, Mark A.; Halverson, Jeffry R.; Corman, Steven R. (MIT CSAIL, 2014-03-22)
    The N2 Corpus (Narrative Networks Corpus) comprises 100 story texts (42,480 words) relevant to Islamist Extremism, drawn from religious stories, online material, and promotional magazines. The corpus has been annotated for ...
  • 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 ...
  • 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, ...
  • Shrobe, Howard; Laddaga, Robert (2004-02-09)
    Traditionally, we've focussed on the question of how to make a system easy to code the first time, or perhaps on how to ease the system's continued evolution. But if we look at life cycle costs, then we must conclude that ...
  • Andoni, Alexandr; Indyk, Piotr (2005-11-04)
    We present an algorithm for c-approximate nearest neighbor problem in a d-dimensional Euclidean space, achieving query time ofO(dn^{1/c^2+o(1)}) and space O(dn + n^{1+1/c^2+o(1)}).
  • Chen, Jing; Micali, Silvio (2008-10-08)
    Following Micali and Valiant [MV07.a], a mechanism is resilient if it achieves its objective without any problem of (1) equilibrium selection and (2) player collusion. To advance resilient mechanism design,We put forward ...
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