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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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  • Kouh, Minjoon; Riesenhuber, Maximilian (2003-09-08)
    The question of how shape is represented is of central interest to understanding visual processing in cortex. While tuning properties of the cells in early part of the ventral visual stream, thought to be responsible for ...
  • Teow, Loo Nin; Katabi, Dina (2006-07-04)
    This paper introduces a new application: predicting the Internet provider-customer market. We cast the problem in the collaborative filtering framework, where we use current and past customer-provider relationships to ...
  • Rosasco, Lorenzo; Verri, Alessandro; Santoro, Matteo; Mosci, Sofia; Villa, Silvia (2009-10-14)
    In this paper we propose a general framework to characterize and solve the optimization problems underlying a large class of sparsity based regularization algorithms. More precisely, we study the minimization of learning ...
  • Tschantz, Matthew S. (2006-09-05)
    This paper describes a programming language, Javari, that is capable of expressing and enforcing immutability constraints. The specific constraint expressed is that the abstract state of the object to which an immutable ...
  • Beckmann, Nathan; Sanchez, Daniel (2013-09-01)
    Shared last-level caches, widely used in chip-multiprocessors (CMPs), face two fundamental limitations. First, the latency and energy of shared caches degrade as the system scales up. Second, when multiple workloads share ...
  • Lynch, Nancy; Ley-Wild, Ruy; Kuhn, Fabian; Cornejo, Alejandro (2009-06-17)
    Designing robust algorithms for mobile agents with reliable communication is difficult due to the distributed nature of computation, in mobile ad hoc networks (MANETs) the matter is exacerbated by the need to ensure ...
  • Alvarez, Mauricio A.; Rosasco, Lorenzo; Lawrence, Neil D. (2011-06-30)
    Kernel methods are among the most popular techniques in machine learning. From a frequentist/discriminative perspective they play a central role in regularization theory as they provide a natural choice for the hypotheses ...
  • Whelan, Thomas; Kaess, Michael; Fallon, Maurice; Johannsson, Hordur; Leonard, John; McDonald, John (2012-07-19)
    In this paper we present an extension to the KinectFusion algorithm that permits dense mesh-based mapping of extended scale environments in real-time. This is achieved through (i) altering the original algorithm such that ...
  • Chen, Jing; Micali, Silvio (2008-06)
    We put forward new benchmarks and solution concepts for Adversarial Mechanism Design, as defined by [MV07.a], and we exemplify them in the case of truly combinatorial auctions.We benchmark the combined performance (the sum ...
  • Chen, Jing; Micali, Silvio (2008-07)
    We put forward new benchmarks and solution concepts for Adversarial Mechanism Design, as defined by [MV07.a], and we exemplify them in the case of truly combinatorial auctions.We benchmark the combined performance (the sum ...
  • Torlak, Emina; van Dijk, Marten; Gassend, Blaise; Jackson, Daniel; Devadas, Srinivas (2005-10-19)
    Knowledge flow analysis offers a simple and flexible way to find flaws in security protocols. A protocol is described by a collection of rules constraining the propagation of knowledge amongst principals. Because this ...
  • Li, Hui X. (2010-04-09)
    Most unmanned missions in space and undersea are commanded by a "script" that specifies a sequence of discrete commands and continuous actions. Currently such scripts are mostly hand-generated by human operators. This ...
  • Russell, Bryan C.; Torralba, Antonio; Murphy, Kevin P.; Freeman, William T. (2005-09-08)
    Research in object detection and recognition in cluttered scenes requires large image collections with ground truth labels. The labels should provide information about the object classes present in each image, as well as ...
  • Ansel, Jason; Wong, Yee Lok; Chan, Cy; Olszewski, Marek; Edelman, Alan; Amarasinghe, Saman (2010-07-27)
    Approximating ideal program outputs is a common technique for solving computationally difficult problems, for adhering to processing or timing constraints, and for performance optimization in situations where perfect ...
  • Kim, Been; Rudin, Cynthia; Shah, Julie (2014-05-26)
    We present a general framework for Bayesian case-based reasoning and prototype classification and clustering -- Latent Case Model (LCM). LCM learns the most representative prototype observations of a dataset by performing ...
  • Morency, Louis-Philippe; Quattoni, Ariadna; Darrell, Trevor (2007-01-07)
    Many problems in vision involve the prediction of a class label for each frame in an unsegmented sequence. In this paper we develop a discriminative framework for simultaneous sequence segmentation and labeling which can ...
  • Ghaffari, Mohsen; Lynch, Nancy; Sastry, Srikanth (2011-10-12)
    We consider the problem of leader election (LE) in single-hop radio networks with synchronized time slots for transmitting and receiving messages. We assume that the actual number n of processes is unknown, while the size ...
  • Adler, Michael; Fleming, Kermin E.; Parashar, Angshuman; Pellauer, Michael; Emer, Joel (2010-11-23)
    Developers accelerating applications on FPGAs or other reconfigurable logic have nothing but raw memory devices in their standard toolkits. Each project typically includes tedious development of single-use memory management. ...
  • Serre, Thomas (2006-04-25)
    In this thesis, I describe a quantitative model that accounts for the circuits and computations of the feedforward path of the ventral stream of visual cortex. This model is consistent with a general theory of visual ...
  • Isik, Leyla; Leibo, Joel Z; Poggio, Tomaso (2011-09-10)
    Learning by temporal association rules such as Foldiak's trace rule is an attractive hypothesis that explains the development of invariance in visual recognition. Consistent with these rules, several recent experiments ...
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