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IEEE Transactions on Pattern Analysis and Machine Intelligence

Issue 10 • Oct. 2015

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Displaying Results 1 - 19 of 19
  • Table of contents

    Publication Year: 2015, Page(s): C1
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  • IEEE Transactions on Pattern Analysis and Machine Intelligence Editorial Board

    Publication Year: 2015, Page(s): C2
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  • Active Batch Selection via Convex Relaxations with Guaranteed Solution Bounds

    Publication Year: 2015, Page(s):1945 - 1958
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1357 KB) | HTML iconHTML Multimedia Media

    Active learning techniques have gained popularity to reduce human effort in labeling data instances for inducing a classifier. When faced with large amounts of unlabeled data, such algorithms automatically identify the exemplar instances for manual annotation. More recently, there have been attempts towards a batch mode form of active learning, where a batch of data points is simultaneously select... View full abstract»

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  • Bayesian Joint Modelling for Object Localisation in Weakly Labelled Images

    Publication Year: 2015, Page(s):1959 - 1972
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1496 KB) | HTML iconHTML Multimedia Media

    We address the problem of localisation of objects as bounding boxes in images and videos with weak labels. This weakly supervised object localisation problem has been tackled in the past using discriminative models where each object class is localised independently from other classes. In this paper, a novel framework based on Bayesian joint topic modelling is proposed, which differs significantly ... View full abstract»

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  • Color Constancy Using Double-Opponency

    Publication Year: 2015, Page(s):1973 - 1985
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1576 KB) | HTML iconHTML

    The double-opponent (DO) color-sensitive cells in the primary visual cortex (V1) of the human visual system (HVS) have long been recognized as the physiological basis of color constancy. In this work we propose a new color constancy model by imitating the functional properties of the HVS from the single-opponent (SO) cells in the retina to the DO cells in V1 and the possible neurons in the higher ... View full abstract»

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  • Detecting Humans in Dense Crowds Using Locally-Consistent Scale Prior and Global Occlusion Reasoning

    Publication Year: 2015, Page(s):1986 - 1998
    Cited by:  Papers (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2545 KB) | HTML iconHTML

    Human detection in dense crowds is an important problem, as it is a prerequisite to many other visual tasks, such as tracking, counting, action recognition or anomaly detection in behaviors exhibited by individuals in a dense crowd. This problem is challenging due to the large number of individuals, small apparent size, severe occlusions and perspective distortion. However, crowded scenes also off... View full abstract»

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  • From Intensity Profile to Surface Normal: Photometric Stereo for Unknown Light Sources and Isotropic Reflectances

    Publication Year: 2015, Page(s):1999 - 2012
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2232 KB) | HTML iconHTML

    We propose an uncalibrated photometric stereo method that works with general and unknown isotropic reflectances. Our method uses a pixel intensity profile, which is a sequence of radiance intensities recorded at a pixel under unknown varying directional illumination. We show that for general isotropic materials and uniformly distributed light directions, the geodesic distance between intensity pro... View full abstract»

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  • Generative Graph Prototypes from Information Theory

    Publication Year: 2015, Page(s):2013 - 2027
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1207 KB) | HTML iconHTML

    In this paper we present a method for constructing a generative prototype for a set of graphs by adopting a minimum description length approach. The method is posed in terms of learning a generative supergraph model from which the new samples can be obtained by an appropriate sampling mechanism. We commence by constructing a probability distribution for the occurrence of nodes and edges over the s... View full abstract»

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  • HFirst: A Temporal Approach to Object Recognition

    Publication Year: 2015, Page(s):2028 - 2040
    Cited by:  Papers (16)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (932 KB) | HTML iconHTML

    This paper introduces a spiking hierarchical model for object recognition which utilizes the precise timing information inherently present in the output of biologically inspired asynchronous address event representation (AER) vision sensors. The asynchronous nature of these systems frees computation and communication from the rigid predetermined timing enforced by system clocks in conventional sys... View full abstract»

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  • Learning Compact Binary Face Descriptor for Face Recognition

    Publication Year: 2015, Page(s):2041 - 2056
    Cited by:  Papers (55)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1758 KB) | HTML iconHTML

    Binary feature descriptors such as local binary patterns (LBP) and its variations have been widely used in many face recognition systems due to their excellent robustness and strong discriminative power. However, most existing binary face descriptors are hand-crafted, which require strong prior knowledge to engineer them by hand. In this paper, we propose a compact binary face descriptor (CBFD) fe... View full abstract»

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  • Multi-Camera Saliency

    Publication Year: 2015, Page(s):2057 - 2070
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1705 KB) | HTML iconHTML

    A significant body of literature on saliency modeling predicts where humans look in a single image or video. Besides the scientific goal of understanding how information is fused from multiple visual sources to identify regions of interest in a holistic manner, there are tremendous engineering applications of multi-camera saliency due to the widespread of cameras. This paper proposes a principled ... View full abstract»

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  • Regionlets for Generic Object Detection

    Publication Year: 2015, Page(s):2071 - 2084
    Cited by:  Papers (17)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1496 KB) | HTML iconHTML

    Generic object detection is confronted by dealing with different degrees of variations, caused by viewpoints or deformations in distinct object classes, with tractable computations. This demands for descriptive and flexible object representations which can be efficiently evaluated in many locations. We propose to model an object class with a cascaded boosting classifier which integrates various ty... View full abstract»

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  • Robust Structured Subspace Learning for Data Representation

    Publication Year: 2015, Page(s):2085 - 2098
    Cited by:  Papers (72)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (525 KB) | HTML iconHTML

    To uncover an appropriate latent subspace for data representation, in this paper we propose a novel Robust Structured Subspace Learning (RSSL) algorithm by integrating image understanding and feature learning into a joint learning framework. The learned subspace is adopted as an intermediate space to reduce the semantic gap between the low-level visual features and the high-level semantics. To gua... View full abstract»

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  • Shape-from-Template

    Publication Year: 2015, Page(s):2099 - 2118
    Cited by:  Papers (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2375 KB) | HTML iconHTML

    We study a problem that we call Shape-from-Template, which is the problem of reconstructing the shape of a deformable surface from a single image and a 3D template. Current methods in the literature address the case of isometric deformations, and relax the isometry constraint to the convex inextensibility constraint, solved using the so-called maximum depth heuristic. We call these methods zeroth-... View full abstract»

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  • The Perturbed Variation

    Publication Year: 2015, Page(s):2119 - 2130
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (586 KB) | HTML iconHTML

    We introduce a new discrepancy measure between two distributions that gives an indication on their similarity. The new measure, termed the Perturbed Variation (PV), gives an intuitive interpretation of similarity; it optimally perturbs the distributions so that they best fit each other. The PV is defined between continuous and discrete distributions, and can be efficiently estimated from samples. ... View full abstract»

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  • Unsupervised Discovery of Subspace Trends

    Publication Year: 2015, Page(s):2131 - 2145
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1327 KB) | HTML iconHTML Multimedia Media

    This paper presents unsupervised algorithms for discovering previously unknown subspace trends in high-dimensional data sets without the benefit of prior information. A subspace trend is a sustained pattern of gradual/progressive changes within an unknown subset of feature dimensions. A fundamental challenge to subspace trend discovery is the presence of irrelevant data dimensions, noise, outliers... View full abstract»

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  • Spatiotemporal Directional Number Transitional Graph for Dynamic Texture Recognition

    Publication Year: 2015, Page(s):2146 - 2152
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (947 KB) | HTML iconHTML Multimedia Media

    Spatiotemporal image descriptors are gaining attention in the image research community for better representation of dynamic textures. In this paper, we introduce a dynamic-micro-texture descriptor, i.e., spatiotemporal directional number transitional graph (DNG), which describes both the spatial structure and motion of each local neighborhood by capturing the direction of natural flow in the tempo... View full abstract»

    Open Access
  • IEEE Transactions on Pattern Analysis and Machine Intelligence Information for Authors

    Publication Year: 2015, Page(s): C3
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    Freely Available from IEEE
  • IEEE Computer Society

    Publication Year: 2015, 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
Sven Dickinson
University of Toronto
e-mail: sven@cs.toronto.edu