Now showing items 227-246 of 775

    • Eclat: Automatic Generation and Classification of Test Inputs 

      Pacheo, Carlos; Ernst, Michael D. (2004-10-14)
      This paper describes a technique that helps a test engineerselect, from a large set of randomly generated testinputs, a small subset likely to reveal faults in the softwareunder test. The technique takes a program or ...
    • Efficient Cache Coherence on Manycore Optical Networks 

      Psota, James; Agarwal, Anant; Miller, Jason; Beckmann, Nathan; Kurian, George (2010-02-11)
      Ever since industry has turned to parallelism instead of frequency scaling to improve processor performance, multicore processors have continued to scale to larger and larger numbers of cores. Some believe that multicores ...
    • An Efficient Fill Estimation Algorithm for Sparse Matrices and Tensors in Blocked Formats 

      Ahrens, Peter; Schiefer, Nicholas; Xu, Helen (2017-06-09)
      Tensors, linear-algebraic extensions of matrices in arbitrary dimensions, have numerous applications in computer science and computational science. Many tensors are sparse, containing more than 90% zero entries. Efficient ...
    • Efficient Image Matching with Distributions of Local Invariant Features 

      Grauman, Kristen; Darrell, Trevor (2004-11-22)
      Sets of local features that are invariant to common image transformations are an effective representation to use when comparing images; current methods typically judge feature sets' similarity via a voting scheme (which ...
    • An Efficient Learning Procedure for Deep Boltzmann Machines 

      Salakhutdinov, Ruslan; Hinton, Geoffrey (2010-08-04)
      We present a new learning algorithm for Boltzmann Machines that contain many layers of hidden variables. Data-dependent statistics are estimated using a variational approximation that tends to focus on a single mode, and ...
    • Efficient Marginal Likelihood Optimization in Blind Deconvolution 

      Levin, Anat; Weiss, Yair; Durand, Fredo; Freeman, William T. (2011-04-04)
      In blind deconvolution one aims to estimate from an input blurred image y a sharp image x and an unknown blur kernel k. Recent research shows that a key to success is to consider the overall shape of the posterior distribution ...
    • Efficient Motion Planning Algorithm for Stochastic Dynamic Systems with Constraints on Probability of Failure 

      Ono, Masahiro; Williams, Brian C. (2008-03-06)
      When controlling dynamic systems such as mobile robots in uncertain environments, there is a trade off between risk and reward. For example, a race car can turn a corner faster by taking a more challenging path. This paper ...
    • Efficient Object Recognition and Image Retrieval for Large-Scale Applications 

      Lee, John J. (2008-05-06)
      Algorithms for recognition and retrieval tasks generally call for both speed and accuracy. When scaling up to very large applications, however, we encounter additional significant requirements: adaptability and scalability. ...
    • Efficient POMDP Forward Search by Predicting the Posterior Belief Distribution 

      Roy, Nicholas; He, Ruijie (2009-09-23)
      Online, forward-search techniques have demonstrated promising results for solving problems in partially observable environments. These techniques depend on the ability to efficiently search and evaluate the set of beliefs ...
    • Efficient Specification-Assisted Error Localization and Correction 

      Demsky, Brian; Cadar, Cristian; Roy, Daniel; Rinard, Martin (2003-11-13)
      We present a new error localization tool, Archie, that accepts aspecification of key data structure consistency constraints, then generatesan algorithm that checks if the data structures satisfy theconstraints. We also ...
    • Efficient, Verifiable Binary Sandboxing for a CISC Architecture 

      McCamant, Stephen; Morrisett, Greg (2005-05-02)
      Executing untrusted code while preserving security requiresenforcement of memory and control-flow safety policies:untrusted code must be prevented from modifying memory orexecuting code except as explicitly allowed. ...
    • Efficiently Solving Repeated Integer Linear Programming Problems by Learning Solutions of Similar Linear Programming Problems using Boosting Trees 

      Banerjee, Ashis Gopal; Roy, Nicholas (2015-01-21)
      It is challenging to obtain online solutions of large-scale integer linear programming (ILP) problems that occur frequently in slightly different forms during planning for autonomous systems. We refer to such ILP problems ...
    • Elastic-Net Regularization in Learning Theory 

      De Mol, Christine; Rosasco, Lorenzo; De Vito, Ernesto (2008-07-24)
      Within the framework of statistical learning theory we analyze in detail the so-called elastic-net regularization scheme proposed by Zou and Hastie ["Regularization and variable selection via the elastic net" J. R. Stat. ...
    • Electronic Cash with Blind Deposits: How to Have No Spare Change 

      Liskov, Moses (2003-10-14)
      Electronic cash schemes in which the bank authenticates many coins at once suffer from the problem that coins that are authenticated together can be linked to one another. Unfortunately, unless a user spends coins in a ...
    • EM2: A Scalable Shared-Memory Multicore Architecture 

      Khan, Omer; Lis, Mieszko; Devadas, Srini (2010-06-12)
      We introduce the Execution Migration Machine (EM2), a novel, scalable shared-memory architecture for large-scale multicores constrained by off-chip memory bandwidth. EM2 reduces cache miss rates, and consequently off-chip ...
    • Embracing Wireless Interference: Analog Network Coding 

      Katti, Sachin; Gollakota, Shyamnath; Katabi, Dina (2007-02-23)
      Traditionally, interference is considered harmful.Wireless networks strive to avoid scheduling multiple transmissions at the same time in order to prevent interference. This paper adopts the opposite approach; it encourages ...
    • Empirical Effective Dimension and Optimal Rates for Regularized Least Squares Algorithm 

      Caponnetto, Andrea; Rosasco, Lorenzo; Vito, Ernesto De; Verri, Alessandro (2005-05-27)
      This paper presents an approach to model selection for regularized least-squares on reproducing kernel Hilbert spaces in the semi-supervised setting. The role of effective dimension was recently shown to be crucial in the ...
    • Encrypted Keyword Search in a Distributed Storage System 

      Artzi, Shay; Kiezun, Adam; Newport, Calvin; Schultz, David (2006-02-23)
      Encrypted keyword search allows a server to perform a search over a set of encrypted documents on behalf of a client without learning the contents of the documents or the words being searched for. Designing a practical ...
    • Energy Scalability of On-Chip Interconnection Networks in Multicore Architectures 

      Agarwal, Anant; Psota, James; Eastep, Jonathan; Konstantakopoulos, Theodoros (2008-11-11)
      On-chip interconnection networks (OCNs) such as point-to-point networks and buses form the communication backbone in systems-on-a-chip, multicore processors, and tiled processors. OCNs can consume significant portions of ...
    • Energy-Efficient Approximate Computation in Topaz 

      Achour, Sara; Rinard, Martin (2014-08-19)
      We present Topaz, a new task-based language for computations that execute on approximate computing platforms that may occasionally produce arbitrarily inaccurate results. The Topaz implementation maps approximate tasks ...