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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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  • Knoblich, Ulf; Freedman, David J.; Riesenhuber, Maximilian (2002-04-18)
    In a recent experiment, Freedman et al. recorded from inferotemporal (IT) and prefrontal cortices (PFC) of monkeys performing a "cat/dog" categorization task (Freedman 2001 and Freedman, Riesenhuber, Poggio, Miller ...
  • Schoelkopf, B.; Sung, K.; Burges, C.; Girosi, F.; Niyogi, P.; Poggio, T.; Vapnik, V. (1996-12-01)
    The Support Vector (SV) machine is a novel type of learning machine, based on statistical learning theory, which contains polynomial classifiers, neural networks, and radial basis function (RBF) networks as special ...
  • Morgenstern, Christian; Heisele, Bernd (2003-11-28)
    We present a component-based approach for recognizing objects under large pose changes. From a set of training images of a given object we extract a large number of components which are clustered based on the similarity ...
  • Riesenhuber, Maximilian; Poggio, Tomaso (2000-08-07)
    Understanding how biological visual systems perform object recognition is one of the ultimate goals in computational neuroscience. Among the biological models of recognition the main distinctions are between feedforward ...
  • Schyns, Philippe G.; Bulthoff, Heinrich H. (1993-08-01)
    Poggio and Vetter (1992) showed that learning one view of a bilaterally symmetric object could be sufficient for its recognition, if this view allows the computation of a symmetric, "virtual," view. Faces are roughly ...
  • Torralba, Antonio; Sinha, Pawan (2001-09-01)
    There is general consensus that context can be a rich source of information about an object's identity, location and scale. In fact, the structure of many real-world scenes is governed by strong configurational rules akin ...
  • Poggio, M.; Poggio, T. (1995-04-11)
    We have simulated the behavior of several artificial flies, interacting visually with each other. Each fly is described by a simple tracking system (Poggio and Reichardt, 1973; Land and Collett, 1974) which summarizes ...
  • Schneider, Robert; Riesenhuber, Maximilian (2002-08-01)
    The HMAX model has recently been proposed by Riesenhuber & Poggio as a hierarchical model of position- and size-invariant object recognition in visual cortex. It has also turned out to model successfully a number of ...
  • Torralba, Antonio; Sinha, Pawan (2001-11-05)
    The ability to detect faces in images is of critical ecological significance. It is a pre-requisite for other important face perception tasks such as person identification, gender classification and affect analysis. Here ...
  • Shimizu, Hiroaki; Poggio, Tomaso (2003-08-27)
    The capability of estimating the walking direction of people would be useful in many applications such as those involving autonomous cars and robots. We introduce an approach for estimating the walking direction of people ...
  • Balas, Benjamin J.; Sinha, Pawan (2003-08-13)
    A fundamental question in visual neuroscience is how to represent image structure. The most common representational schemes rely on differential operators that compare adjacent image regions. While well-suited to encoding ...
  • Niyogi, Partha; Berwick, Robert (1995-12-01)
    Formalizing linguists' intuitions of language change as a dynamical system, we quantify the time course of language change including sudden vs. gradual changes in languages. We apply the computer model to the historical ...
  • Chan, Nicholas Tung; Shelton, Christian (2001-04-17)
    This paper presents an adaptive learning model for market-making under the reinforcement learning framework. Reinforcement learning is a learning technique in which agents aim to maximize the long-term accumulated rewards. ...
  • Alvira, Mariano; Rifkin, Ryan (2001-01-01)
    Impressive claims have been made for the performance of the SNoW algorithm on face detection tasks by Yang et. al. [7]. In particular, by looking at both their results and those of Heisele et. al. [3], one could infer that ...
  • Girosi, Federico (1997-05-01)
    In the first part of this paper we show a similarity between the principle of Structural Risk Minimization Principle (SRM) (Vapnik, 1982) and the idea of Sparse Approximation, as defined in (Chen, Donoho and Saunders, ...
  • Meila, Marina; Jordan, Michael I.; Morris, Quaid (1997-06-01)
    This paper introduces a probability model, the mixture of trees that can account for sparse, dynamically changing dependence relationships. We present a family of efficient algorithms that use EMand the Minimum Spanning ...
  • Meila, Marina; Jordan, Michael I.; Morris, Quaid (1998-09-01)
    This paper introduces a probability model, the mixture of trees that can account for sparse, dynamically changing dependence relationships. We present a family of efficient algorithms that use EM and the Minimum Spanning ...
  • Yokono, Jerry Jun; Poggio, Tomaso (2004-03-24)
    Local descriptors are increasingly used for the task of object recognition because of their perceived robustness with respect to occlusions and to global geometrical deformations. We propose a performance criterion for a ...
  • Giese, M.A.; Xie, X. (2002-08-01)
    Different theoretical models have tried to investigate the feasibility of recurrent neural mechanisms for achieving direction selectivity in the visual cortex. The mathematical analysis of such models has been restricted ...
  • Beymer, David; Shashua, Amnon; Poggio, Tomaso (1993-11-01)
    Image analysis and graphics synthesis can be achieved with learning techniques using directly image examples without physically-based, 3D models. In our technique: -- the mapping from novel images to a vector of "pose" ...
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