AIMC Journal:
IEEE transactions on pattern analysis and machine intelligence

Showing 291 to 300 of 300 articles

HFirst: A Temporal Approach to Object Recognition.

IEEE transactions on pattern analysis and machine intelligence Oct 1, 2015
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 asyn...
Neural Networks, Computer Algorithms Models, Neurological Pattern Recognition, Automated
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Active Batch Selection via Convex Relaxations with Guaranteed Solution Bounds.

IEEE transactions on pattern analysis and machine intelligence Oct 1, 2015
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 a...
Humans Artificial Intelligence Algorithms Computational Biology Databases, Factual Pattern Recognition, Automated Data Mining Animals
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Multi-Camera Saliency.

IEEE transactions on pattern analysis and machine intelligence Oct 1, 2015
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 holis...
Humans Behavior Machine Learning Algorithms Image Processing, Computer-Assisted Pattern Recognition, Automated
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Learning Compact Binary Face Descriptor for Face Recognition.

IEEE transactions on pattern analysis and machine intelligence Oct 1, 2015
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...
Humans Principal Component Analysis Artificial Intelligence Face Databases, Factual Biometric Identification
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Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition.

IEEE transactions on pattern analysis and machine intelligence Sep 1, 2015
Existing deep convolutional neural networks (CNNs) require a fixed-size (e.g., 224 × 224) input image. This requirement is "artificial" and may reduce the recognition accuracy for the images or sub-images of an arbitrary size/scale. In this work, we ...
Image Processing, Computer-Assisted Pattern Recognition, Automated Humans Neural Networks, Computer Algorithms Animals
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Tree Topology Estimation.

IEEE transactions on pattern analysis and machine intelligence Aug 1, 2015
Tree-like structures are fundamental in nature, and it is often useful to reconstruct the topology of a tree - what connects to what - from a two-dimensional image of it. However, the projected branches often cross in the image: the tree projects to ...
Retinal Vessels Lightning Trees Stochastic Processes Algorithms Databases, Factual Imaging, Three-Dimensional Humans Artificial Intelligence
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Actions in the Eye: Dynamic Gaze Datasets and Learnt Saliency Models for Visual Recognition.

IEEE transactions on pattern analysis and machine intelligence Jul 1, 2015
Systems based on bag-of-words models from image features collected at maxima of sparse interest point operators have been used successfully for both computer visual object and action recognition tasks. While the sparse, interest-point based approach ...
Young Adult Adult Male Human Activities Eye Movements Pattern Recognition, Visual Artificial Intelligence Models, Neurological Humans Female Video Recording
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Semi-Supervised Affinity Propagation with Soft Instance-Level Constraints.

IEEE transactions on pattern analysis and machine intelligence May 1, 2015
Soft-constraint semi-supervised affinity propagation (SCSSAP) adds supervision to the affinity propagation (AP) clustering algorithm without strictly enforcing instance-level constraints. Constraint violations lead to an adjustment of the AP similari...
Cluster Analysis Algorithms Databases, Factual Humans Computational Biology Machine Learning
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Relational Learning and Network Modelling Using Infinite Latent Attribute Models.

IEEE transactions on pattern analysis and machine intelligence Feb 1, 2015
Latent variable models for network data extract a summary of the relational structure underlying an observed network. The simplest possible models subdivide nodes of the network into clusters; the probability of a link between any two nodes then depe...
Models, Theoretical Informatics Machine Learning Computer Simulation
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A Hybrid Loss for Multiclass and Structured Prediction.

IEEE transactions on pattern analysis and machine intelligence Jan 1, 2015
We propose a novel hybrid loss for multiclass and structured prediction problems that is a convex combination of a log loss for Conditional Random Fields (CRFs) and a multiclass hinge loss for Support Vector Machines (SVMs). We provide a sufficient c...
Models, Statistical Image Processing, Computer-Assisted Pattern Recognition, Automated Video Recording Humans Human Activities Support Vector Machine Artificial Intelligence
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