Browsing by Title

Now showing items 3472-3491 of 4784

  • Realistic Modeling of Simple and Complex Cell Tuning in the HMAXModel, and Implications for Invariant Object Recognition in Cortex 

    Unknown author (2004-07-27)
    Riesenhuber \& Poggio recently proposed a model of object recognitionin cortex which, beyond integrating general beliefs about the visualsystem in a quantitative framework, made testable predictions aboutvisual processing. ...

  • Reasoning about Relaxed Programs 

    Unknown author (2011-11-15)
    A number of approximate program transformations have recently emerged that enable transformed programs to trade accuracy of their results for increased performance by dynamically and nondeterministically modifying variables ...

  • Reasoning By Analogy: A Progress Report 

    Unknown author (MIT Artificial Intelligence Laboratory, 1976-10)
    Rather.

  • Reasoning from Incomplete Knowledge in a Procedural Deduction System 

    Unknown author (1975-12-01)
    One very useful idea in AI research has been the notion of an explicit model of a problem situation. Procedural deduction languages, such as PLANNER, have been valuable tools for building these models. But PLANNER and its ...

  • Reasoning Modeled as a Society of Communicating Experts 

    Unknown author (1979-06-01)
    This report describes a domain independent reasoning system. The system uses a frame-based knowledge representation language and various reasoning techniques including constraint propagation, progressive refinement, ...

  • Reasoning Utility Package User's Manual, Version One 

    Unknown author (1982-04-01)
    RUP (Reasoning Utility Package) is a collection of procedures for performing various computations relevant to automated reasoning. RUP contains a truth maintenance system (TMS) which can be used to perform simple ...

  • REC/8: A CONVERT Compiler of REC for the PDP-8 

    Unknown author (1968-01-01)
    REC/8 is a CONVERT program, realized in the CTSS LISP of Project MAC, for compiling RED expressions into the machine language of the PDP-8 computer. Since the compilation consists in its majority of subroutines calls (to ...

  • Recent Improvements in DDT 

    Unknown author (1963-11-01)
    This paper will report new developments and recent improvements to DDT. "Window DDT" now will remember undefined symbols and define them on a later command. Using sequence breaks, it can change the contents of memory while ...

  • Receptive field structures for recognition 

    Unknown author (2005-03-01)
    Localized operators, like Gabor wavelets and difference-of-Gaussian filters, are considered to be useful tools for image representation. This is due to their ability to form a  sparse code that can serve as a basis set ...

  • Reciprocal Interactions Between Motion and Form Perception 

    Unknown author (1995-04-21)
    The processes underlying the perceptual analysis of visual form are believed to have minimal interaction with those subserving the perception of visual motion (Livingstone and Hubel, 1987; Victor and Conte, 1990). ...

  • Recognition and Localization of Overlapping Parts from Sparse Data 

    Unknown author (1985-06-01)
    This paper discusses how sparse local measurements of positions and surface normals may be used to identify and locate overlapping objects. The objects are modeled as polyhedra (or polygons) having up to six degreed ...

  • Recognition and Structure from One 2D Model View: Observations on Prototypes, Object Classes and Symmetries 

    Unknown author (1992-02-01)
    In this note we discuss how recognition can be achieved from a single 2D model view exploiting prior knowledge of an object's structure (e.g. symmetry). We prove that for any bilaterally symmetric 3D object one non- ...

  • Recognition by Linear Combinations of Models 

    Unknown author (1989-08-01)
    Visual object recognition requires the matching of an image with a set of models stored in memory. In this paper we propose an approach to recognition in which a 3-D object is represented by the linear combination of 2-D ...

  • Recognition by Prototypes 

    Unknown author (1992-12-01)
    A scheme for recognizing 3D objects from single 2D images is introduced. The scheme proceeds in two stages. In the first stage, the categorization stage, the image is compared to prototype objects. For each prototype, ...

  • Recognition of Real Objects 

    Unknown author (MIT Artificial Intelligence Laboratory, 1972-10)
    High level semantic knowledge will be employed in the development of a machine vision program flexible enough to deal with a class of "everyday objects" in varied environments. This report is in the nature of a thesis ...

  • The Recognition of Sharp, Closely Spaced Edges 

    Unknown author (1974-12-01)
    The recognition of sharp edges from edge- and bar-mask convolutions with an image is studied for the special case where the separation of the edges is of the order of the masks' panel-widths. Desmearing techniques are ...

  • Recognition of Surface Reflectance Properties from a Single Image under Unknown Real-World Illumination 

    Unknown author (2001-10-21)
    This paper describes a machine vision system that classifies reflectance properties of surfaces such as metal, plastic, or paper, under unknown real-world illumination. We demonstrate performance of our algorithm for ...

  • Recognition of Topological Invariants by Iterative Arrays 

    Unknown author (1969-10-01)
    A study is made of the recognition and transformation of figures by iterative arrays of finite state automata. A figure is a finite rectangular two-dimensional array of symbols. The iterative arrays considered are ...

  • Recognition of Topological Invariants by Modular Arrays 

    Unknown author (1968-09-01)
    In this paper we study recognition of topological invariant properties of patterns by use of finite, rectangular 2-dimensional, interactive arrays of finite state automata (hereafter called modular arrays). The use of ...

  • Recognizing 3-D Objects Using 2-D Images 

    Unknown author (1993-04-01)
    We discuss a strategy for visual recognition by forming groups of salient image features, and then using these groups to index into a data base to find all of the matching groups of model features. We discuss the most ...