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IEEE Transactions on Pattern Analysis and Machine Intelligence

Issue 2 • Date Feb 2002

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Displaying Results 1 - 11 of 11
  • On optimal pairwise linear classifiers for normal distributions: the two-dimensional case

    Publication Year: 2002, Page(s):274 - 280
    Cited by:  Papers (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (227 KB) | HTML iconHTML

    Optimal Bayesian linear classifiers have been studied in the literature for many decades. We demonstrate that all the known results consider only the scenario when the quadratic polynomial has coincident roots. Indeed, we present a complete analysis of the case when the optimal classifier between two normally distributed classes is pairwise and linear. We focus on some special cases of the normal ... View full abstract»

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  • Two variations on Fisher's linear discriminant for pattern recognition

    Publication Year: 2002, Page(s):268 - 273
    Cited by:  Papers (42)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (297 KB) | HTML iconHTML

    Discriminants are often used in pattern recognition to separate clusters of points in some multidimensional "feature" space. The paper provides two fast and simple techniques for improving on the classification performance provided by Fisher's linear discriminant for two classes. Both of these methods are also extended to nonlinear decision surfaces through the use of Mercer kernels View full abstract»

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  • Vision for mobile robot navigation: a survey

    Publication Year: 2002, Page(s):237 - 267
    Cited by:  Papers (522)  |  Patents (29)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3542 KB) | HTML iconHTML

    Surveys the developments of the last 20 years in the area of vision for mobile robot navigation. Two major components of the paper deal with indoor navigation and outdoor navigation. For each component, we have further subdivided our treatment of the subject on the basis of structured and unstructured environments. For indoor robots in structured environments, we have dealt separately with the cas... View full abstract»

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  • Rectified catadioptric stereo sensors

    Publication Year: 2002, Page(s):224 - 236
    Cited by:  Papers (40)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1076 KB) | HTML iconHTML

    It has been shown elsewhere how mirrors can be used to capture stereo images with a single camera, an approach termed catadioptric stereo. We present novel catadioptric sensors that use mirrors to produce rectified stereo images. The scanline correspondence of these images benefits real-time stereo by avoiding the computational cost and image degradation due to resampling when rectification is per... View full abstract»

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  • Information theoretic clustering

    Publication Year: 2002, Page(s):158 - 171
    Cited by:  Papers (108)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1001 KB) | HTML iconHTML

    Clustering is an important topic in pattern recognition. Since only the structure of the data dictates the grouping (unsupervised learning), information theory is an obvious criteria to establish the clustering rule. The paper describes a novel valley seeking clustering algorithm using an information theoretic measure to estimate the cost of partitioning the data set. The information theoretic cri... View full abstract»

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  • Multiview constraints on homographies

    Publication Year: 2002, Page(s):214 - 223
    Cited by:  Papers (42)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (484 KB) | HTML iconHTML

    The image motion of a planar surface between two camera views is captured by a homography (a 2D projective transformation). The homography depends on the intrinsic and extrinsic camera parameters, as well as on the 3D plane parameters. While camera parameters vary across different views, the plane geometry remains the same. Based on this fact, we derive linear subspace constraints on the relative ... View full abstract»

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  • A theoretical study on six classifier fusion strategies

    Publication Year: 2002, Page(s):281 - 286
    Cited by:  Papers (274)  |  Patents (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (159 KB) | HTML iconHTML

    We look at a single point in feature space, two classes, and L classifiers estimating the posterior probability for class ω1 . Assuming that the estimates are independent and identically distributed (normal or uniform), we give formulas for the classification error for the following fusion methods: average, minimum, maximum, median, majority vote, and oracle View full abstract»

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  • A statistical approach for phrase location and recognition within a text line: an application to street name recognition

    Publication Year: 2002, Page(s):172 - 188
    Cited by:  Papers (15)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (718 KB) | HTML iconHTML

    We describe an approach to conjointly locate and recognize a street name within a street line. The system developed is based on a probabilistic framework that naturally integrates various knowledge sources to emit a final decision. At the handwriting signal level, hidden Markov models are extensively used to provide the needed matching scores. Several optimization techniques are employed to speed ... View full abstract»

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  • Recognizing handwritten digits using hierarchical products of experts

    Publication Year: 2002, Page(s):189 - 197
    Cited by:  Papers (13)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (748 KB) | HTML iconHTML

    The product of experts learning procedure can discover a set of stochastic binary features that constitute a nonlinear generative model of handwritten images of digits. The quality of generative models learned in this way can be assessed by learning a separate model for each class of digit and then comparing the unnormalized probabilities of test images under the 10 different class-specific models... View full abstract»

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  • Information theoretic sensor data selection for active object recognition and state estimation

    Publication Year: 2002, Page(s):145 - 157
    Cited by:  Papers (97)  |  Patents (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (619 KB) | HTML iconHTML

    We introduce a formalism for optimal sensor parameter selection for iterative state estimation in static systems. Our optimality criterion is the reduction of uncertainty in the state estimation process, rather than an estimator-specific metric (e.g., minimum mean squared estimate error). The claim is that state estimation becomes more reliable if the uncertainty and ambiguity in the estimation pr... View full abstract»

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  • Extraction of visual features for lipreading

    Publication Year: 2002, Page(s):198 - 213
    Cited by:  Papers (125)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1160 KB) | HTML iconHTML

    The multimodal nature of speech is often ignored in human-computer interaction, but lip deformations and other body motion, such as those of the head, convey additional information. We integrate speech cues from many sources and this improves intelligibility, especially when the acoustic signal is degraded. The paper shows how this additional, often complementary, visual speech information can be ... View full abstract»

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Aims & Scope

The IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) is published monthly. Its editorial board strives to present most important research results in areas within TPAMI's scope.

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
David A. Forsyth
University of Illinois
e-mail: daf@illinois.edu