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An Image-Based Approach to Video Copy Detection With Spatio-Temporal Post-Filtering


INTRODUCTION

Common distortions are
1. scaling
2. compression
3. cropping
4. camcording

SPATIO-TEMPORAL VERIFICATION

Spatio-Temporal Transformation

Temporal Grouping

Spatial Verification(next)

Score Aggregation Strategy

conclution
Our video copy detection system outperforms other submitted results on all transformations. This is due to a very accurate image- ....etc

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Spatio-Temporal Network Anomaly Detection by Assessing Deviations of Empirical Measures

Abstract:

We introduce Internet traffic anomaly detection mechanism based on large deviations results for empirical measures. Using past traffic traces we characterize network traffic during various time-of-day intervals, assuming that it is anomaly-free. Throughout, we compare the two approaches presenting their advantages and disadvantages to identify and classify temporal network anomalies. We also demonstrate how our framework can be used to ....etc

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data flow diagram of fraud detection using anomaly detection techniques

In data mining, anomaly detection (or outlier detection) is the identification of items, events or observations which do not conform to an expected pattern or other items in a dataset. Typically the anomalous items will translate to some kind of problem such as bank fraud, a structural defect, medical problems or errors in a text. Anomalies are also referred to as outliers, novelties, noise, deviations and exceptions.

In particular in the context of abuse and networ ....etc

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An Empirical Study of Test Case Filtering Techniques Based on
Exercising Information Flows-IEE TRANSACTIONS ON SOFTWARE ENGINEERING, VOL. 33, NO. 7
Abstract
Some software defects trigger failures only when certain local or non local program interactions occur. Such interactions are modeled by the closely related concepts of information flows, program dependences, and program slices. The latter concepts underlie a 78variety of proposed test data adequacy criteria, and they form a potentially important basis for filtering existing tes ....etc

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With the wide support for object serialization in object-oriented programming languages, persistent objects have become common place and most large object-oriented software systems rely on extensive amounts of persistent data. Such systems also evolve over time. Retrieving previously persisted objects from classes whose schema has changed is however difficult, and may lead to invalidating the consistency of the application. The ESCHER framework addresses these issues through an IDE-integrated approach that handles class schema evolution by mana ....etc

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A Framework for Mining Sequential Patterns from Spatio-Temporal Event Data Sets-IEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, VOL. 20, NO. 4,-java

Abstract +
Given a large spatio-temporal database of events, where each event consists of the fields event ID, time, location, and event type, mining spatio-temporal sequential patterns identifies significant event-type sequences. Such spatio-temporal sequential patterns are crucial to the investigation of spatial and temporal evolutions of phenomena in many application domains. Rec ....etc

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