Now showing items 255-274 of 775

    • Evaluation of sets of oriented and non-oriented receptive fields as local descriptors 

      Yokono, Jerry Jun; Poggio, Tomaso (2004-03-24)
      Local descriptors are increasingly used for the task of object recognition because of their perceived robustness with respect to occlusions and to global geometrical deformations. We propose a performance criterion for a ...
    • Event Order Abstraction for Parametric Real-Time System Verification 

      Umeno, Shinya (2008-07-28)
      We present a new abstraction technique, event order abstraction (EOA), for parametric safety verification of real-time systems in which ``correct orderings of events'' needed for system correctness are maintained by timing ...
    • Evolving Robocode Tank Fighters 

      Eisenstein, Jacob (2003-10-28)
      In this paper, I describe the application of genetic programming to evolve a controller for a robotic tank in a simulated environment.The purpose is to explore how genetic techniques can best be applied to produce controllers ...
    • Exact Algorithms for the Canadian Traveller Problem on Paths and Trees 

      Karger, David; Nikolova, Evdokia (2008-01-28)
      The Canadian Traveller problem is a stochastic shortest paths problem in which one learns the cost of an edge only when arriving at one of its endpoints. The goal is to find an adaptive policy (adjusting as one learns more ...
    • Examining high level neural representations of cluttered scenes 

      Meyers, Ethan; Embark, Hamdy; Freiwald, Winrich; Serre, Thomas; Kreiman, Gabriel; e.a. (2010-07-29)
      Humans and other primates can rapidly categorize objects even when they are embedded in complex visual scenes (Thorpe et al., 1996; Fabre-Thorpe et al., 1998). Studies by Serre et al., 2007 have shown that the ability of ...
    • Examining Key Mobility Resources through Denial of Service Attacks on proposed Global Name Resolution Services 

      Rock, Colleen T. (2016-09-26)
      The problem we address in this thesis is to uncover the design elements in a network architecture design that may open it up to denial of service (DoS) attacks and to expose the tradeoffs in mitigating those DoS opportunities. ...
    • Exploiting Transport-Level Characteristics of Spam 

      Beverly, Robert; Sollins, Karen (2008-02-15)
      In the arms race to secure electronic mail users and servers fromunsolicited messages (spam), the most successful solutions employtechniques that are difficult for spammers to circumvent. Thisresearch investigates the ...
    • Exploiting Vector Parallelism in Software Pipelined Loops 

      Larsen, Sam; Rabbah, Rodric; Amarasinghe, Saman (2005-06-03)
      An emerging trend in processor design is the incorporation of short vector instructions into the ISA. In fact, vector extensions have appeared in most general-purpose microprocessors. To utilize these instructions, ...
    • Explorations in Low-Cost Compliant Robotics 

      Kumpf, Adam (2007-01-30)
      This thesis presents the findings of exploratory research in low-cost compliant robotics. The most heavily leveraged trade-off is that of mechanical precision for computational power, with the hope that the price of future ...
    • Extending a MOOS-IvP Autonomy System and Users Guide to the IvPBuild Toolbox 

      Benjamin, Michael R.; Newman, Paul M.; Schmidt, Henrik; Leonard, John J. (2009-08-20)
      This document describes how to extend the suite of MOOS applications and IvP Helm behaviors distributed with the MOOS-IvP software bundle from www.moos-ivp.org. It covers (a) a straw-man repository with a place-holder MOOS ...
    • Face processing in humans is compatible with a simple shape-based model of vision 

      Riesenhuber; Jarudi; Gilad; Sinha (2004-03-05)
      Understanding how the human visual system recognizes objects is one of the key challenges in neuroscience. Inspired by a large body of physiological evidence (Felleman and Van Essen, 1991; Hubel and Wiesel, 1962; Livingstone ...
    • Faces as a "Model Category" for Visual Object Recognition 

      Tan, Cheston; Poggio, Tomaso (2013-03-18)
      Visual recognition is an important ability that is central to many everyday tasks such as reading, navigation and social interaction, and is therefore actively studied in neuroscience, cognitive psychology and artificial ...
    • Factors Affecting the Adoption of Faculty-Developed Academic Software: A Study of Five iCampus Projects 

      Ehrmann, Stephen C.; Gilbert, Steven W.; McMartin, Flora; Abelson, Harold; Long, Philip D. (2007-10-20)
      Instruction in higher education must adapt more rapidly to: changes in workforce needs, global issues, advances in disciplines, and resource constraints. The pace of such improvement depends on the speed with which new ...
    • Fast and Robust Pyramid-based Image Processing 

      Aubry, Mathieu; Paris, Sylvain; Hasinoff, Samuel W.; Kautz, Jan; Durand, Frédo (2011-11-15)
      Multi-scale manipulations are central to image editing but they are also prone to halos. Achieving artifact-free results requires sophisticated edgeaware techniques and careful parameter tuning. These shortcomings were ...
    • Fast concurrent object classification and localization 

      Yeh, Tom; Lee, John J.; Darrell, Trevor (2008-06-10)
      Object localization and classification are important problems incomputer vision. However, in many applications, exhaustive searchover all class labels and image locations is computationallyprohibitive. While several methods ...
    • Fast Contour Matching Using Approximate Earth Mover's Distance 

      Grauman, Kristen; Darrell, Trevor (2003-12-05)
      Weighted graph matching is a good way to align a pair of shapesrepresented by a set of descriptive local features; the set ofcorrespondences produced by the minimum cost of matching features fromone shape to the features ...
    • Fast Rates for Regularized Least-squares Algorithm 

      Caponnetto, Andrea; Vito, Ernesto De (2005-04-14)
      We develop a theoretical analysis of generalization performances of regularized least-squares on reproducing kernel Hilbert spaces for supervised learning. We show that the concept of effective dimension of an integral ...
    • Fast Self-Healing Gradients 

      Beal, Jacob; Bachrach, Jonathan; Vickery, Dan; Tobenkin, Mark (2008-03)
      We present CRF-Gradient, a self-healing gradient algorithm that provably reconfigures in O(diameter) time. Self-healing gradients are a frequently used building block for distributed self-healing systems, but previous ...
    • Fast, Approximate State Estimation of Concurrent Probabilistic Hybrid Automata 

      Timmons, Eric (2013-12-11)
      It is an undeniable fact that autonomous systems are simultaneously becoming more common place, more complex, and deployed in more inhospitable environments. Examples include smart homes, smart cars, Mars rovers, unmanned ...
    • Faster Dynamic Controllability Checking in Temporal Networks with Integer Bounds 

      Bhargava, Nikhil; Williams, Brian C. (International Joint Conference in Artificial Intelligence, 2019-08)
      Simple Temporal Networks with Uncertainty (STNUs) provide a useful formalism with which to reason about events and the temporal constraints that apply to them. STNUs are in particular notable because they facilitate reasoning ...