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Browsing Computer Science and Artificial Intelligence Lab (CSAIL) by Title

Research and Teaching Output of the MIT Community

Browsing Computer Science and Artificial Intelligence Lab (CSAIL) by Title

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  • The Last Whole XGP Font Catalog 
    Christman, David P.; Sjoberg, Robert W. (MIT Artificial Intelligence Laboratory, 1980-03)
  • Latent-Dynamic Discriminative Models for Continuous Gesture Recognition 
    Morency, Louis-Philippe; Quattoni, Ariadna; Darrell, Trevor (2007-01-07)
    Many problems in vision involve the prediction of a class label for each frame in an unsegmented sequence. In this paper we develop a discriminative framework for simultaneous sequence segmentation and labeling which can ...
  • Laws for Communicating Parallel Processes 
    Baker, Henry; Hewitt, Carl (MIT Artificial Intelligence Laboratory, 1977-05-10)
    This paper presents some laws that must be satisfied by computations involving communicating parallel processes. The laws are stated in the context of the actor theory, a model for distributed parallel computation, and ...
  • Laws for Communicating Parallel Processes 
    Baker, Henry; Hewitt, Carl (MIT Artificial Intelligence Laboratory, 1976-11)
    This paper presents some "laws" that must be satisfied by computations involving communicating parallel processes. The laws take the form of stating restrictions on the histories of computations that are physically realizable. ...
  • Leader Election Using Loneliness Detection 
    Ghaffari, Mohsen; Lynch, Nancy; Sastry, Srikanth (2011-10-12)
    We consider the problem of leader election (LE) in single-hop radio networks with synchronized time slots for transmitting and receiving messages. We assume that the actual number n of processes is unknown, while the size ...
  • Leaderless Distributed Hierarchy Formation 
    Beal, Jacob (2002-12-01)
    I present a system for robust leaderless organization of an amorphous network into hierarchical clusters. This system, which assumes that nodes are spatially embedded and can only talk to neighbors within a given radius, ...
  • Leading a Child to a Computer Culture 
    Solomon, Cynthia J. (1975-12-01)
    "LOGO" is sometimes used as the name of a programming language. It is also used as the name of...what shall I call it?... an environment, a culture, a way of thinking about computers and about learning and about putting ...
  • LEAP Scratchpads: Automatic Memory and Cache Management for Reconfigurable Logic [Extended Version] 
    Adler, Michael; Fleming, Kermin E.; Parashar, Angshuman; Pellauer, Michael; Emer, Joel (2010-11-23)
    Developers accelerating applications on FPGAs or other reconfigurable logic have nothing but raw memory devices in their standard toolkits. Each project typically includes tedious development of single-use memory management. ...
  • Learning a Color Algorithm from Examples 
    Hurlbert, Anya; Poggio, Tomaso (1987-06-01)
    We show that a color algorithm capable of separating illumination from reflectance in a Mondrian world can be learned from a set of examples. The learned algorithm is equivalent to filtering the image data---in which ...
  • Learning a Dictionary of Shape-Components in Visual Cortex: Comparison with Neurons, Humans and Machines 
    Serre, Thomas (2006-04-25)
    In this thesis, I describe a quantitative model that accounts for the circuits and computations of the feedforward path of the ventral stream of visual cortex. This model is consistent with a general theory of visual ...
  • Learning and disrupting invariance in visual recognition 
    Isik, Leyla; Leibo, Joel Z; Poggio, Tomaso (2011-09-10)
    Learning by temporal association rules such as Foldiak's trace rule is an attractive hypothesis that explains the development of invariance in visual recognition. Consistent with these rules, several recent experiments ...
  • Learning and Example Selection for Object and Pattern Detection 
    Sung, Kah-Kay (1996-03-13)
    This thesis presents a learning based approach for detecting classes of objects and patterns with variable image appearance but highly predictable image boundaries. It consists of two parts. In part one, we introduce our ...
  • Learning and Invariance in a Family of Hierarchical Kernels 
    Wibisono, Andre; Bouvrie, Jake; Rosasco, Lorenzo; Poggio, Tomaso (2010-07-30)
    Understanding invariance and discrimination properties of hierarchical models is arguably the key to understanding how and why such models, of which the the mammalian visual system is one instance, can lead to good ...
  • Learning and Reasoning by Analogy: The Details 
    Winston, Patrick H. (1979-04-01)
    We use analogy when we say something is a Cinderella story and when we learn about resistors by thinking about water pipes. We also use analogy when we learn subjects like Economics, Medicine and Law. This paper ...
  • Learning-Based Approach to Estimation of Morphable Model Parameters 
    Kumar, Vinay; Poggio, Tomaso (2000-09-01)
    We describe the key role played by partial evaluation in the Supercomputing Toolkit, a parallel computing system for scientific applications that effectively exploits the vast amount of parallelism exposed by partial ...
  • Learning-Based Approach to Real Time Tracking and Analysis of Faces 
    Kumar, Vinay P.; Poggio, Tomaso (1999-09-23)
    This paper describes a trainable system capable of tracking faces and facialsfeatures like eyes and nostrils and estimating basic mouth features such as sdegrees of openness and smile in real time. In developing this ...
  • Learning by Augmenting Rules and Accumulating Censors 
    Winston, Patrick H. (1982-05-01)
    This paper is a synthesis of several sets of ideas: ideas about learning from precedents and exercises, ideas about learning using near misses, ideas about generalizing if-then rules, and ideas about using censors to ...
  • Learning by Creating and Justifying Transfer Frames 
    Winston, Patrick H. (1978-01-01)
    In the particular kind of learning discussed in this paper, the teacher names a destination and a source. In the sentence, "Robbie is like a fox," Robbie is the destination and fox is the source. The student, on analyzing ...
  • Learning by Creating and Justifying Transfer Frames 
    Winston, Patrick H. (1977-01-01)
    Learning is defined to be the computation done by a student when there is a transfer of information to him from a teacher. In the particular kind of learning discussed, the teacher names a source and destination. In ...
  • Learning by Failing to Explain 
    Hall, Robert Joseph (1986-05-01)
    Explanation-based Generalization requires that the learner obtain an explanation of why a precedent exemplifies a concept. It is, therefore, useless if the system fails to find this explanation. However, it is not ...
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