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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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  • 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 (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 ...
  • 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 ...
  • 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" ...
  • Sung, Kah Kay; Poggio, Tomaso (1995-01-24)
    We present an example-based learning approach for locating vertical frontal views of human faces in complex scenes. The technique models the distribution of human face patterns by means of a few view-based "face'' and ...
  • Chan, Nicholas T.; Dahan, Ely; Lo, Andrew W.; Poggio, Tomaso (2001-07-01)
    Market prices are well known to efficiently collect and aggregate diverse information regarding the value of commodities and assets. The role of markets has been particularly suitable to pricing financial securities. This ...
  • Sadr, Javid; Sinha, Pawan (2001-03-01)
    We have developed a technique called RISE (Random Image Structure Evolution), by which one may systematically sample continuous paths in a high-dimensional image space. A basic RISE sequence depicts the evolution of an ...
  • Heisele, Bernd; Poggio, Tomaso; Pontil, Massimiliano (2000-05-01)
    We present a trainable system for detecting frontal and near-frontal views of faces in still gray images using Support Vector Machines (SVMs). We first consider the problem of detecting the whole face pattern by a single ...
  • Riesenhuber; Jarudi; Gilad; Sinha (2004-03-05)
    Understanding how the human visual system recognizes objects is one of the key challenges in neuroscience. Inspired by a large body of physiological evidence (Felleman and Van Essen, 1991; Hubel and Wiesel, 1962; Livingstone ...
  • Rosen, Ezra (2003-06-05)
    The face inversion effect has been widely documented as an effect of the uniqueness of face processing. Using a computational model, we show that the face inversion effect is a byproduct of expertise with respect to the ...
  • Ghahramani, Zoubin; Jordan, Michael I. (1996-02-09)
    We present a framework for learning in hidden Markov models with distributed state representations. Within this framework, we derive a learning algorithm based on the Expectation--Maximization (EM) procedure for maximum ...
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