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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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  • Mohan, Anuj (1999-08-11)
    In this paper we present a component based person detection system that is capable of detecting frontal, rear and near side views of people, and partially occluded persons in cluttered scenes. The framework that is ...
  • Poggio, Tomaso; Hurlbert, Anya (1993-12-01)
    This paper sketches a hypothetical cortical architecture for visual 3D object recognition based on a recent computational model. The view-centered scheme relies on modules for learning from examples, such as Hyperbf-like ...
  • Jordan, Michael; Xu, Lei (1995-04-21)
    "Expectation-Maximization'' (EM) algorithm and gradient-based approaches for maximum likelihood learning of finite Gaussian mixtures. We show that the EM step in parameter space is obtained from the gradient via a ...
  • Stein, Gideon P.; Shashua, Amnon (1997-12-01)
    This paper investigates the linear degeneracies of projective structure estimation from point and line features across three views. We show that the rank of the linear system of equations for recovering the trilinear tensor ...
  • Jaakkola, Tommi; Jordan, Michael I.; Singh, Satinder P. (1993-08-01)
    Recent developments in the area of reinforcement learning have yielded a number of new algorithms for the prediction and control of Markovian environments. These algorithms, including the TD(lambda) algorithm of Sutton ...
  • Schneider, Robert; Riesenhuber, Maximilian (2004-01-14)
    Numerous psychophysical experiments have shown an important role for attentional modulations in vision. Behaviorally, allocation of attention can improve performance in object detection and recognition tasks. At the neural ...
  • Pontil, Massimiliano; Mukherjee, Sayan; Girosi, Federico (1998-10-01)
    Support Vector Machines Regression (SVMR) is a regression technique which has been recently introduced by V. Vapnik and his collaborators (Vapnik, 1995; Vapnik, Golowich and Smola, 1996). In SVMR the goodness of fit ...
  • Evgeniou, Theodoros; Pontil, Massimiliano (1999-05-01)
    This paper presents a computation of the $V_gamma$ dimension for regression in bounded subspaces of Reproducing Kernel Hilbert Spaces (RKHS) for the Support Vector Machine (SVM) regression $epsilon$-insensitive loss function, ...
  • Nakajima, Chikahito; Pontil, Massimiliano; Heisele, Bernd; Poggio, Tomaso (2000-06-01)
    We describe a system that learns from examples to recognize people in images taken indoors. Images of people are represented by color-based and shape-based features. Recognition is carried out through combinations of Support ...
  • Ostrovsky, Yuri; Cavanagh, Patrick; Sinha, Pawan (2001-11-05)
    The human visual system is adept at detecting and encoding statistical regularities in its spatio-temporal environment. Here we report an unexpected failure of this ability in the context of perceiving inconsistencies in ...
  • Geiger, Gadi; Ezzat, Tony; Poggio, Tomaso (2003-02-28)
    abstract With many visual speech animation techniques now available, there is a clear need for systematic perceptual evaluation schemes. We describe here our scheme and its application to a new video-realistic ...
  • Russell, Richard; Sinha, Pawan (2001-07-01)
    The image comparison operation ??sessing how well one image matches another ??rms a critical component of many image analysis systems and models of human visual processing. Two norms used commonly for this purpose are L1 ...
  • Shelton, Christian R. (2001-03-20)
    We present a new method for estimating the expected return of a POMDP from experience. The estimator does not assume any knowle ge of the POMDP and allows the experience to be gathered with an arbitrary set of policies. ...
  • Li, Zhaoping (1998-06-30)
    Stimuli outside classical receptive fields have been shown to exert significant influence over the activities of neurons in primary visual cortexWe propose that contextual influences are used for pre-attentive visual ...
  • Girosi, Federico; Jones, Michael; Poggio, Tomaso (1993-06-01)
    We had previously shown that regularization principles lead to approximation schemes, as Radial Basis Functions, which are equivalent to networks with one layer of hidden units, called Regularization Networks. In this ...
  • Smyth, Padhraic; Heckerman, David; Jordan, Michael (1996-03-13)
    Graphical techniques for modeling the dependencies of randomvariables have been explored in a variety of different areas includingstatistics, statistical physics, artificial intelligence, speech recognition, image ...
  • Pontil, Massimiliano; Verri, Alessandro (1997-08-01)
    Support Vector Machines (SVMs) perform pattern recognition between two point classes by finding a decision surface determined by certain points of the training set, termed Support Vectors (SV). This surface, which in some ...
  • Shashua, Amnon; Toelg, Sebastian (1994-06-01)
    The conceptual component of this work is about "reference surfaces'' which are the dual of reference frames often used for shape representation purposes. The theoretical component of this work involves the question ...
  • Sinha, Pawan (1995-04-21)
    The processes underlying the perceptual analysis of visual form are believed to have minimal interaction with those subserving the perception of visual motion (Livingstone and Hubel, 1987; Victor and Conte, 1990). ...
  • Torralba, Antonio; Sinha, Pawan (2001-07-25)
    We propose a scheme for indoor place identification based on the recognition of global scene views. Scene views are encoded using a holistic representation that provides low-resolution spatial and spectral information. The ...
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