Browsing Computer Science and Artificial Intelligence Lab (CSAIL) by Title
Now showing items 2455-2474 of 2625
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Ultra-fast Object Recognition from Few Spikes
(2005-07-06)Understanding the complex brain computations leading to object recognition requires quantitatively characterizing the information represented in inferior temporal cortex (IT), the highest stage of the primate visual stream. ...
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Uncertainty Propagation in Model-Based Recognition
(1995-02-01)Building robust recognition systems requires a careful understanding of the effects of error in sensed features. Error in these image features results in a region of uncertainty in the possible image location of each ...
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Understanding and evaluating blind deconvolution algorithms
(2009-03-31)Blind deconvolution is the recovery of a sharp version of a blurred image when the blur kernel is unknown. Recent algorithms have afforded dramatic progress, yet many aspects of the problem remain challenging and hard to ...
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Understanding and Modeling the Behavior of a Harmonic Drive Gear Transmission
(1992-05-01)In my research, I have performed an extensive experimental investigation of harmonic-drive properties such as stiffness, friction, and kinematic error. From my experimental results, I have found that these properties ...
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Understanding and Supporting Directed Content Sharing on the Web
(2009-10-07)To find interesting, personally relevant web content, we often rely on friends and colleagues to pass links along as they encounter them. In this paper, we study and augment link-sharing via e-mail, the most popular means ...
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Understanding Bandwidth Limitations in Robot Force Control
(1987-08-01)This paper provides an analytical overview of the dynamics involved in force control. Models are developed which demonstrate, for the one-axis explicit force control case, the effects on system closed-loop bandwidth ...
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Understanding camera trade-offs through a Bayesian analysis of light field projections
(2008-04-16)Computer vision has traditionally focused on extracting structure,such as depth, from images acquired using thin-lens or pinhole optics. The development of computational imaging is broadening this scope; a variety of ...
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Understanding camera trade-offs through a Bayesian analysis of light field projections - A revision
(2008-07-28)Computer vision has traditionally focused on extracting structure,such as depth, from images acquired using thin-lens or pinholeoptics. The development of computational imaging is broadening thisscope; a variety of ...
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Understanding Hand-Printed Algebra for Computer Tutoring
(1977-02-01)This thesis demonstrates how the use of a global context can improve the power of a local character recognizer. The global context considered is a computer tutor of high school algebra that observes a student working ...
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Understanding in Incomplete Worlds
(1978-05-01)Most real world domains differ from the micro-worlds traditionally used in A.I. in that they have an incomplete factual database which changes over time. Understanding in these domains can be thought of as the generation ...
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Understanding LISP Programs: Towards a Programmer's Apprentice
(MIT Artificial Intelligence Laboratory, 1974-12)Several attempts have been made to produce tools which will help the programmer of complex computer systems. A new approach is proposed which integrates the programmer's intentions, the program code, and the comments, by ...
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Understanding Scenes With Shadows
(MIT Artificial Intelligence Laboratory, 1971-11)The basic problem of this research is to find methods which will enable a program to construct a three dimensional interpretation from the line drawing of a scene, where the scene may have shadows and various degeneracies. ...
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Understanding Simple Picture Programs
(1974-04-01)What are the characteristics of the process by which an intent is transformed into a plan and then a program? How is a program debugged? This paper analyzes these questions in the context of understanding simple turtle ...
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Understanding Subsystems in Biology through Dimensionality Reduction, Graph Partitioning and Analytical Modeling
(2003-02-05)Biological systems exhibit rich and complex behavior through the orchestrated interplay of a large array of components. It is hypothesized that separable subsystems with some degree of functional autonomy exist; deciphering ...
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Understanding Text through Summarization and Analogy
(1983-04-01)Understanding a text exactly in the way that the Text Producer meant the text to be understood is highly unlikely unless the text interpretation process is constrained. Specific understanding-directing criteria are ...
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Understanding the Performance of Broadband Networks through the Statistical Analysis of Speed Tests - Supplemental materials
(2011-05-10)Supplemental materials for the master thesis "Understanding the Performance of Broadband Networks Through the Statistical Analysis of Speed Tests", by Rubén García, submitted in May 2011 for the S.M. in Technology and ...
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Understanding Understanding Mathematics
(1978-08-01)In this paper we look at some of the ingredients and processes involved in the understanding of mathematics. We analyze elements of mathematical knowledge, organize them in a coherent way and take note of certain ...
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A Unified Framework for Regularization Networks and Support Vector Machines
(1999-03-01)Regularization Networks and Support Vector Machines are techniques for solving certain problems of learning from examples -- in particular the regression problem of approximating a multivariate function from sparse ...
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A Unified Operating System for Clouds and Manycore: fos
(2009-11-20)Single chip processors with thousands of cores will be available in the next ten years and clouds of multicore processors afford the operating system designer thousands of cores today. Constructing operating systems for ...
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A Unified Statistical and Information Theoretic Framework for Multi-modal Image Registration
(2004-04-28)We formulate and interpret several multi-modal registration methods in the context of a unified statistical and information theoretic framework. A unified interpretation clarifies the implicit assumptions of each method ...