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IEEE Transactions on Pattern Analysis and Machine Intelligence

Issue 9 • Sept. 2014

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  • Table of Contents

    Publication Year: 2014, Page(s): C1
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  • IEEE Transactions on Pattern Analysis and Machine Intelligence Editorial Board

    Publication Year: 2014, Page(s): C2
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  • Bayesian Estimation of the von-Mises Fisher Mixture Model with Variational Inference

    Publication Year: 2014, Page(s):1701 - 1715
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1241 KB) | HTML iconHTML Multimedia Media

    This paper addresses the Bayesian estimation of the von-Mises Fisher (vMF) mixture model with variational inference (VI). The learning task in VI consists of optimization of the variational posterior distribution. However, the exact solution by VI does not lead to an analytically tractable solution due to the evaluation of intractable moments involving functional forms of the Bessel function in th... View full abstract»

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  • Combining Structure and Parameter Adaptation of HMMs for Printed Text Recognition

    Publication Year: 2014, Page(s):1716 - 1732
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2427 KB) | HTML iconHTML

    We present two algorithms that extend existing HMM parameter adaptation algorithms (MAP and MLLR) by adapting the HMM structure. This improvement relies on a smart combination of MAP and MLLR with a structure optimization procedure. Our algorithms are semi-supervised: to adapt a given HMM model on new data, they require little labeled data for parameter adaptation and a moderate amount of unlabele... View full abstract»

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  • Dense 3D Reconstruction from High Frame-Rate Video Using a Static Grid Pattern

    Publication Year: 2014, Page(s):1733 - 1747
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1829 KB) | HTML iconHTML

    Dense 3D reconstruction of fast moving objects could contribute to various applications such as body structure analysis, accident avoidance, and so on. In this paper, we propose a technique based on a one-shot scanning method, which reconstructs 3D shapes for each frame of a high frame-rate video capturing the scenes projected by a static pattern. To avoid instability of image processing, we restr... View full abstract»

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  • Fast Orthogonal Haar Transform PatternMatching via Image Square Sum

    Publication Year: 2014, Page(s):1748 - 1760
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2356 KB) | HTML iconHTML

    Although using image strip sum, an orthogonal Haar transform (OHT) pattern matching algorithm may have good performance, it requires three subtractions to calculate each Haar projection value on the sliding windows. By establishing a solid mathematical foundation for OHT, this paper based on the concept of image square sum, proposes a novel fast orthogonal Haar transform (FOHT) pattern matching al... View full abstract»

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  • Image Segmentation UsingHigher-Order Correlation Clustering

    Publication Year: 2014, Page(s):1761 - 1774
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2192 KB) | HTML iconHTML

    In this paper, a hypergraph-based image segmentation framework is formulated in a supervised manner for many high-level computer vision tasks. To consider short- and long-range dependency among various regions of an image and also to incorporate wider selection of features, a higher-order correlation clustering (HO-CC) is incorporated in the framework. Correlation clustering (CC), which is a graph... View full abstract»

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  • Interactive Phrases: Semantic Descriptionsfor Human Interaction Recognition

    Publication Year: 2014, Page(s):1775 - 1788
    Cited by:  Papers (12)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1468 KB) | HTML iconHTML

    This paper addresses the problem of recognizing human interactions from videos. We propose a novel approach that recognizes human interactions by the learned high-level descriptions, interactive phrases. Interactive phrases describe motion relationships between interacting people. These phrases naturally exploit human knowledge and allow us to construct a more descriptive model for recognizing hum... View full abstract»

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  • Knowledge Adaptation with PartiallyShared Features for Event DetectionUsing Few Exemplars

    Publication Year: 2014, Page(s):1789 - 1802
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1509 KB) | HTML iconHTML Multimedia Media

    Multimedia event detection (MED) is an emerging area of research. Previous work mainly focuses on simple event detection in sports and news videos, or abnormality detection in surveillance videos. In contrast, we focus on detecting more complicated and generic events that gain more users' interest, and we explore an effective solution for MED. Moreover, our solution only uses few positive examples... View full abstract»

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  • Occlusion Reasoning for Object Detectionunder Arbitrary Viewpoint

    Publication Year: 2014, Page(s):1803 - 1815
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1913 KB) | HTML iconHTML

    We present a unified occlusion model for object instance detection under arbitrary viewpoint. Whereas previous approaches primarily modeled local coherency of occlusions or attempted to learn the structure of occlusions from data, we propose to explicitly model occlusions by reasoning about 3D interactions of objects. Our approach accurately represents occlusions under arbitrary viewpoint without ... View full abstract»

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  • Photometric Stereo Using Sparse Bayesian Regression for General Diffuse Surfaces

    Publication Year: 2014, Page(s):1816 - 1831
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2384 KB)

    Most conventional algorithms for non-Lambertian photometric stereo can be partitioned into two categories. The first category is built upon stable outlier rejection techniques while assuming a dense Lambertian structure for the inliers, and thus performance degrades when general diffuse regions are present. The second utilizes complex reflectance representations and non-linear optimization over pi... View full abstract»

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  • Scale Space for Camera Invariant Features

    Publication Year: 2014, Page(s):1832 - 1846
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2250 KB) | HTML iconHTML

    In this paper we propose a new approach to compute the scale space of any central projection system, such as catadioptric, fisheye or conventional cameras. Since these systems can be explained using a unified model, the single parameter that defines each type of system is used to automatically compute the corresponding Riemannian metric. This metric, is combined with the partial differential equat... View full abstract»

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  • Segmentation and Enhancement of Latent Fingerprints: A Coarse to Fine RidgeStructure Dictionary

    Publication Year: 2014, Page(s):1847 - 1859
    Cited by:  Papers (13)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2131 KB) | HTML iconHTML

    Latent fingerprint matching has played a critical role in identifying suspects and criminals. However, compared to rolled and plain fingerprint matching, latent identification accuracy is significantly lower due to complex background noise, poor ridge quality and overlapping structured noise in latent images. Accordingly, manual markup of various features (e.g., region of interest, singular points... View full abstract»

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  • The Hidden Sides of Names—Face Modeling with First Name Attributes

    Publication Year: 2014, Page(s):1860 - 1873
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2499 KB) | HTML iconHTML

    This paper introduces the new idea of describing people using first names. We show that describing people in terms of similarity to a vector of possible first names is a powerful representation of facial appearance that can be used for a number of important applications, such as naming never-seen faces and building facial attribute classifiers. We build models for 100 common first names used in th... View full abstract»

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  • The Spike-and-Slab RBM and Extensions to Discrete and Sparse Data Distributions

    Publication Year: 2014, Page(s):1874 - 1887
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1296 KB) | HTML iconHTML

    The spike-and-slab restricted Boltzmann machine (ssRBM) is defined to have both a real-valued “slab” variable and a binary “spike” variable associated with each unit in the hidden layer. The model uses its slab variables to model the conditional covariance of the observation-thought to be important in capturing the statistical properties of natural images. In this paper... View full abstract»

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  • Direct Orthogonal Distance to Quadratic Surfaces in 3D

    Publication Year: 2014, Page(s):1888 - 1892
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (660 KB) | HTML iconHTML

    Discovering the orthogonal distance to a quadratic surface is a classic geometric task in vision, modeling, and robotics. I describe a simple, efficient, and stable direct solution for the orthogonal distance (foot-point) to an arbitrary quadratic surface from a general finite 3D point. The problem is expressed as the intersection of three quadratic surfaces, two of which are derived from the requ... View full abstract»

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  • Efficient Energy Minimization for Enforcing Label Statistics

    Publication Year: 2014, Page(s):1893 - 1899
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (630 KB) | HTML iconHTML

    Energy minimization algorithms, such as graph cuts, enable the computation of the MAP solution under certain probabilistic models such as Markov random fields. However, for many computer vision problems, the MAP solution under the model is not the ground truth solution. In many problem scenarios, the system has access to certain statistics of the ground truth. For instance, in image segmentation, ... View full abstract»

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  • Low-Level Hierarchical Multiscale Segmentation Statistics of Natural Images

    Publication Year: 2014, Page(s):1900 - 1906
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (571 KB) | HTML iconHTML

    This paper is aimed at obtaining the statistics as a probabilistic model pertaining to the geometric, topological and photometric structure of natural images. The image structure is represented by its segmentation graph derived from the low-level hierarchical multiscale image segmentation. We first estimate the statistics of a number of segmentation graph properties from a large number of images. ... View full abstract»

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  • Rock Stars of Cybersecurity [advertisement]

    Publication Year: 2014, Page(s): 1907
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  • IEEE computer society rock stars of big data analytics [advertisement]

    Publication Year: 2014, Page(s): 1908
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  • IEEE Transactions on Pattern Analysis and Machine Intelligence Information for Authors

    Publication Year: 2014, Page(s): C3
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  • IEEE Computer Society

    Publication Year: 2014, Page(s): C4
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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