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Browsing CBCL Memos (1993 - 2004) by Title

Research and Teaching Output of the MIT Community

Browsing CBCL Memos (1993 - 2004) by Title

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  • Weiss, Yar; Adelson, Edward H. (1998-02-01)
    In order to estimate the motion of an object, the visual system needs to combine multiple local measurements, each of which carries some degree of ambiguity. We present a model of motion perception whereby measurements ...
  • Papgeorgiou, Constantine P.; Girosi, Federico; Poggio, Tomaso (1998-05-01)
    This paper presents a new paradigm for signal reconstruction and superresolution, Correlation Kernel Analysis (CKA), that is based on the selection of a sparse set of bases from a large dictionary of class- specific basis ...
  • Evgeniou, Theodoros; Poggio, Tomaso (1997-09-01)
    We discuss the problem of finding sparse representations of a class of signals. We formalize the problem and prove it is NP-complete both in the case of a single signal and that of multiple ones. Next we develop a simple ...
  • Mukherjee, Sayan; Niyogi, Partha; Poggio, Tomaso; Rifkin, Ryan (2002-12-01)
    Solutions of learning problems by Empirical Risk Minimization (ERM) need to be consistent, so that they may be predictive. They also need to be well-posed, so that they can be used robustly. We show that a statistical ...
  • Hofmann, Thomas; Puzicha, Jan (1998-02-01)
    Modeling and predicting co-occurrences of events is a fundamental problem of unsupervised learning. In this contribution we develop a statistical framework for analyzing co-occurrence data in a general setting where ...
  • Knoblich, Ulf; Riesenhuber, Maximilan (2002-03-15)
    Tsunoda et al. (2001) recently studied the nature of object representation in monkey inferotemporal cortex using a combination of optical imaging and extracellular recordings. In particular, they examined IT neuron ...
  • Osuna, Edgar; Freund, Robert; Girosi, Federico (1997-03-01)
    The Support Vector Machine (SVM) is a new and very promising classification technique developed by Vapnik and his group at AT&T Bell Labs. This new learning algorithm can be seen as an alternative training technique ...
  • Shelton, Christian R. (1998-12-01)
    This paper describes the problem of three-dimensional object correspondence and presents an algorithm for matching two three-dimensional colored surfaces using polygon reduction and the minimization of an energy function. ...
  • Kumar, Vinay P. (2002-09-01)
    This thesis proposes a methodology for the design of man-machine interfaces by combining top-down and bottom-up processes in vision. From a computational perspective, we propose that the scientific-cognitive question ...
  • Papageorgiou, Constantine P.; Poggio, Tomaso (1999-10-13)
    This paper describes a general, trainable architecture for object detection that has previously been applied to face and peoplesdetection with a new application to car detection in static images. Our technique is a ...
  • Papageorgiou, Constantine P. (2000-05-01)
    This thesis presents a general, trainable system for object detection in static images and video sequences. The core system finds a certain class of objects in static images of completely unconstrained, cluttered scenes ...
  • Dill, Marcus; Edelman, Shimon (1997-06-01)
    Human object recognition is generally considered to tolerate changes of the stimulus position in the visual field. A number of recent studies, however, have cast doubt on the completeness of translation invariance. In a ...
  • Meila, Marina; Jordan, Michael I. (1997-03-01)
    When triangulating a belief network we aim to obtain a junction tree of minimum state space. Searching for the optimal triangulation can be cast as a search over all the permutations of the network's vaeriables. Our ...
  • Evgeniou, Theodoros; Pontil, Massimiliano; Poggio, Tomaso (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 ...
  • Marcken, Carl de (1996-01-18)
    We present an unsupervised learning algorithm that acquires a natural-language lexicon from raw speech. The algorithm is based on the optimal encoding of symbol sequences in an MDL framework, and uses a hierarchical ...
  • Somers, David C.; Todorov, Emanuel V.; Siapas, Athanassios G.; Sur, Mriganka (1996-01-18)
    Integration of inputs by cortical neurons provides the basis for the complex information processing performed in the cerebral cortex. Here, we propose a new analytic framework for understanding integration within ...
  • Jones, Douglas A.; Berwick, Robert C.; Cho, Franklin; Khan, Zeeshan; Kohl, Karen T.; Nomura, Naoyuki; Radhakrishnan, Anand; Sauerland, Ulrich; Ulicny, Brian (1996-05-06)
    In this report, we investigate the relationship between the semantic and syntactic properties of verbs. Our work is based on the English Verb Classes and Alternations of (Levin, 1993). We explore how these classes are ...
  • Sinha, Pawan; Poggio, Tomaso (1995-04-21)
    A persistent issue of debate in the area of 3D object recognition concerns the nature of the experientially acquired object models in the primate visual system. One prominent proposal in this regard has expounded the ...
  • Geiger, Gad; Lettvin, Jerome Y. (1997-06-01)
    We describe here, briefly, a perceptual non-reading measure which reliably distinguishes between dyslexic persons and ordinary readers. More importantly, we describe a regimen of practice with which dyslexics learn a ...
  • Edelman, Shimon; Duvdevani-Bar, Sharon (1997-09-01)
    To recognize a previously seen object, the visual system must overcome the variability in the object's appearance caused by factors such as illumination and pose. Developments in computer vision suggest that it may be ...
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