Now showing items 160-179 of 775

    • Component based recognition of objects in an office environment 

      Morgenstern, Christian; Heisele, Bernd (2003-11-28)
      We present a component-based approach for recognizing objectsunder large pose changes. From a set of training images of a givenobject we extract a large number of components which are clusteredbased on the similarity of ...
    • Composable Probabilistic Inference with Blaise 

      Bonawitz, Keith A (2008-07-23)
      Probabilistic inference provides a unified, systematic framework for specifying and solving these problems. Recent work has demonstrated the great value of probabilistic models defined over complex, structured domains. ...
    • Compositional Policy Priors 

      Wingate, David; Diuk, Carlos; O'Donnell, Timothy; Tenenbaum, Joshua; Gershman, Samuel (2013-04-12)
      This paper describes a probabilistic framework for incorporating structured inductive biases into reinforcement learning. These inductive biases arise from policy priors, probability distributions over optimal policies. ...
    • Comprehensive Java Metadata Tracking for Attack Detection and Repair 

      Perkins, Jeff; Eikenberry, Jordan; Coglio, Alessandro; Rinard, Martin (2019-11-19)
      We present ClearTrack, a system that tracks 32 bits of metadata for each primitive value in Java programs to detect and nullify a range of vulnerabilities such as integer overflow and underflow vulnerabilities, SQL injection ...
    • The computational magic of the ventral stream: sketch of a theory (and why some deep architectures work). 

      Poggio, Tomaso; Mutch, Jim; Leibo, Joel; Rosasco, Lorenzo; Tacchetti, Andrea (2012-12-29)
      This paper explores the theoretical consequences of a simple assumption: the computational goal of the feedforward path in the ventral stream -- from V1, V2, V4 and to IT -- is to discount image transformations, after ...
    • Computational Re-Photography 

      Agarwala, Aseem; Bae, Soonmin; Durand, Fredo (2010-04-07)
      Rephotographers aim to recapture an existing photograph from the same viewpoint. A historical photograph paired with a well-aligned modern rephotograph can serve as a remarkable visualization of the passage of time. However, ...
    • Computing action equivalences for planning under time-constraints 

      Gardiol, Natalia H.; Kaelbling, Leslie Pack (2006-03-20)
      In order for autonomous artificial decision-makers to solverealistic tasks, they need to deal with the dual problems of searching throughlarge state and action spaces under time pressure.We study the problem of planning ...
    • Computing Network Coordinates in the Presence of Byzantine Faults 

      Zhou, You (2009-04-16)
      Network coordinate systems allow for efficient construction of large-scale distributed systems on the Internet. Coordinates provide locality information in a compact way, without requiring each node to contact every potential ...
    • Conceptual Design of Software: A Research Agenda 

      Jackson, Daniel (2013-08-08)
      A research agenda in software design is outlined, focusing on the role of concepts. The notions of concepts as "abstract affordances" and of conceptual integrity are discussed, and a series of small examples of conceptual ...
    • Conditional Random People: Tracking Humans with CRFs and Grid Filters 

      Taycher, Leonid; Shakhnarovich, Gregory; Demirdjian, David; Darrell, Trevor (2005-12-01)
      We describe a state-space tracking approach based on a Conditional Random Field(CRF) model, where the observation potentials are \emph{learned} from data. Wefind functions that embed both state and observation into a space ...
    • Consensus using Asynchronous Failure Detectors 

      Lynch, Nancy; Sastry, Srikanth (2015-03-02)
      The FLP result shows that crash-tolerant consensus is impossible to solve in asynchronous systems, and several solutions have been proposed for crash-tolerant consensus under alternative (stronger) models. One popular ...
    • Conservative Rationalizability and The Second-Knowledge Mechanism 

      Chen, Jing; Micali, Silvio (2010-12-20)
      In mechanism design, the traditional way of modeling the players' incomplete information about their opponents is "assuming a Bayesian." This assumption, however, is very strong and does not hold in many real applications. ...
    • Conservative-Bayesian Mechanism Design 

      Azar, Pablo; Chen, Jing; Micali, Silvio (2010-12-20)
      Classical Bayesian mechanism design is "centralized," that is, the designer is assumed to know the distribution D from which the players' type profile has been drawn. We instead investigate a very "decentralized" Bayesian ...
    • Conservative-Bayesian Mechanisms 

      Azar, Pablo; Chen, Jing; Micali, Silvio (2010-09-08)
      We put forward a new class of mechanisms. In this extended abstract, we exemplify our approach only for single-good auctions in what we call a conservative-Bayesian setting. (Essentially, no common-knowledge about the ...
    • Constraint and Restoring Force 

      Beal, Jacob; Bachrach, Jonathan; Tobenkin, Mark (2007-08-24)
      Long-lived sensor network applications must be able to self-repair and adapt to changing demands. We introduce a new approach for doing so: Constraint and Restoring Force. CRF is a physics-inspired framework for computing ...
    • Constraint Generation for the Jeeves Privacy Language 

      Rose, Eva (2014-10-01)
      Our goal is to present a completed, semantic formalization of the Jeeves privacy language evaluation engine, based on the original Jeeves constraint semantics defined by Yang et al at POPL12, but sufficiently strong to ...
    • Construction by robot swarms using extended stigmergy 

      Werfel, Justin; Bar-Yam, Yaneer; Nagpal, Radhika (2005-04-08)
      We describe a system in which simple, identical, autonomous robots assemble two-dimensional structures out of identical building blocks. We show that, in a system divided in this way into mobile units and structural units, ...
    • Context-based Visual Feedback Recognition 

      Morency, Louis-Philippe (2006-11-15)
      During face-to-face conversation, people use visual feedback (e.g.,head and eye gesture) to communicate relevant information and tosynchronize rhythm between participants. When recognizing visualfeedback, people often rely ...
    • Contextual Influences on Saliency 

      Torralba, Antonio (2004-04-14)
      This article describes a model for including scene/context priors in attention guidance. In the proposed scheme, visual context information can be available early in the visual processing chain, in order to modulate the ...
    • Contextual models for object detection using boosted random fields 

      Torralba, Antonio; Murphy, Kevin P.; Freeman, William T. (2004-06-25)
      We seek to both detect and segment objects in images. To exploit both local image data as well as contextual information, we introduce Boosted Random Fields (BRFs), which uses Boosting to learn the graph structure and ...