• robust copy detection by mining temporal self,

    Hua Wang's Publications - Inside Mines

    Learning of Holism-Landmark Graph Embedding for Place Recognition in .. Enforcing Template Representability and Temporal Consistency for Adaptive Sparse Tracking . Robust and Discriminative Self-Taught Learning PDF Supplementary .. All persons copying this information are expected to adhere to the terms and.

  • Efficient Mining of Multiple Partial Near-Duplicate . - VIREO

    Index Terms—Partial near-duplicate, temporal graph, keyword matching. .. makes the near-duplicate shot detection robust to individual .. c) Self-Duplication.

  • MinE conformational switching confers robustness on self-organized .

    May 1, 2018 . For reliable function, these protein patterns must be robust against parameter changes, . Here, MinD and MinE self-organize to generate pole-to-pole ... reactive critically depends on the "sensing" of membrane-bound MinD (27). ... in yeast provides precise spatial and temporal control of Cdc42 signaling.

  • A Semi-Supervised Learning Approach for Robust Indoor-Outdoor .

    form existing indoor-outdoor detection techniques that rely on static . Permission to make digital or hard copies of all or part of this work for personal or.

  • Heng Huang - Main

    Bilevel Distance Metric Learning for Robust Image Recognition. Neural . IEEE International Conference on Data Mining (ICDM 2016), in press. . Temporal Correlation Structure Learning for MCI Conversion Prediction. .. Noise Suppression and Derivative Wavelet Scalogram for Detecting DNA Copy Number Aberrations.

  • An Introduction to Video Fingerprinting

    Video Copy Detection techniques" and "The Core of Video Fingerprinting" are written as . Robustness: The fingerprints extracted from a degraded video should be similar . Temporal dimension: Changes among frames or the order of frames are the key ... technique is self-defined and evaluated by its performance.

  • Scalable Detection of Partial Near-Duplicate Videos by . - VIREO

    Oct 24, 2009 . Partial near-duplicate, temporal graph, network flow. Permission to . B should and should not be aligned, are continuously mined from the . SIFT from keypoints [17]) for robust detection, at the ... Self-duplication can be han-.

  • A variational eigenvalue solver on a photonic . - BioMedSearch

    detection events with silicon single-photon detectors31. The ability to prepare .. state preparation, as compared to the single copy required by. QPE. In many .. these are not robust to the noise, which makes the objective function non-smooth.

  • An Introduction to Video Fingerprinting

    Video Copy Detection techniques" and "The Core of Video Fingerprinting" are written as . Robustness: The fingerprints extracted from a degraded video should be similar . Temporal dimension: Changes among frames or the order of frames are the key ... technique is self-defined and evaluated by its performance.

  • An overview of deep learning based methods for . - arXiv

    Jan 30, 2018 . Index Terms—Unsupervised methods, Anomaly detection, . machine learning and data mining community. Anomaly .. temporal representation learning for the task of anomaly .. Robust versions of Convolutional AutoEncoders (RCAE) .. fundamentally it is not very different from a ConvLSTM. copy copy.

  • Scalable Detection of Partial Near-Duplicate Videos by . - VIREO

    Oct 24, 2009 . Partial near-duplicate, temporal graph, network flow. Permission to . B should and should not be aligned, are continuously mined from the . SIFT from keypoints [17]) for robust detection, at the ... Self-duplication can be han-.

  • RSC: mining and modeling temporal activity in social . - BDPI USP

    We also show that RSC can be used to spot outliers and detect users with . for profit or commercial advantage and that copies bear this notice and the full cita- .. Self-Feeding Process (SFP) in which a synthetic IAT ∆i is gener- ated as a function ... consecutive IAT that is too strong, significantly deviating from the real data.

  • Examples of data mining - Wikipedia

    Data mining, the process of discovering patterns in large data sets, has been used in many . Data mining software uses advanced pattern recognition algorithms to sift through large .. acquired from the decision maker, and then self-tune the decision method accordingly. ... Retrieved from The Telegraph: "Archived copy".

  • MinE conformational switching confers robustness on self-organized .

    May 1, 2018 . For reliable function, these protein patterns must be robust against parameter changes, . Here, MinD and MinE self-organize to generate pole-to-pole ... reactive critically depends on the "sensing" of membrane-bound MinD (27). ... in yeast provides precise spatial and temporal control of Cdc42 signaling.

  • Robust Copy Detection by Mining Temporal Self-Similarities

    This paper introduces a Self-Similarity Matrix (SSM) based video copy detection scheme and a Visual Character-String (VCS) de- scriptor for SSM matching.

  • Data Mining: Practical Machine Learning Tools and Techniques .

    Apr 3, 2004 . need to be robust enough to cope with imperfect data and to extract regulari- .. practical problems is the identification of rules for diagnosing .. temporal context, tests on a day attribute could involve next day, previous day, . illustrates the basic issue, this self-contained and rather artificial example does.

  • handong1587.github.io/2015-10-09-object-detection.md at master .

    Oct 9, 2015 . Find file Copy path . Rich feature hierarchies for accurate object detection and semantic segmentation ... S-OHEM: Stratified Online Hard Example Mining for Object Detection ... Robust Physical Adversarial Attack on Faster R-CNN Object Detector ... Self-explanatory Deep Salient Object Detection.

  • DeepLog: Anomaly Detection and Diagnosis from System Logs .

    Oct 30, 2017 . detection methods based on traditional data mining methodologies. . Permission to make digital or hard copies of all or part of this work for personal or classroom use is .. sis [8], and medical self-diagnosis [20]. Inspired by the .. follows 3 steps: 1) mine temporal dependencies of each pair of log keys; 2).

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    (78) Transferring Boosted Detectors Towards Viewpoint and Scene ... (144)Robust Copy Detection by Mining Temporal Self-Similarities Zhipeng Wu 2007-06-.

  • Spatio-temporal features for robust content-based video copy .

    Oct 30, 2008 . Spatio-temporal features for robust content-based video copy detection . The system is applied to the task of video footage reuse detection in news broadcasts. .. Mining GPS traces and visual words for event classification ... Simple and self-consistent, the present approach achieves image tagging in.

  • Spatio-temporal features for robust content-based video copy .

    Oct 30, 2008 . Spatio-temporal features for robust content-based video copy detection . The system is applied to the task of video footage reuse detection in news broadcasts. .. Mining GPS traces and visual words for event classification ... Simple and self-consistent, the present approach achieves image tagging in.

  • Spatio-temporal video copy detection - ACM Digital Library

    Feb 22, 2012 . These spatio-temporal signatures enable the algorithm to provide both .. Jiang, Robust copy detection by mining temporal self-similarities,.

  • A Time series data mining - ResearchGate

    Four types of robustness could then be formalized and any . similarity measures, stream analysis, temporal analysis, time series. 1. . Permission to make digital or hard copies of part or all of this work for personal or classroom use is ... and proposed a self-labeling heuristic to detect any attack within network traffic data.

  • BotNet Detection: Enhancing Analysis by Using Data Mining .

    propagating, self-organizing, and autonomous framework that is under a . Once a bot is installed on a victim host, it will make a copy into a configurable ... analysis algorithms to detect spatial-temporal correlation in network traffic . approach is more robust than the previous approaches because of detecting botnet flows.

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