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Related Concept Videos

BIBO stability of continuous and discrete -time systems01:24

BIBO stability of continuous and discrete -time systems

System stability is a fundamental concept in signal processing, often assessed using convolution. For a system to be considered bounded-input bounded-output (BIBO) stable, any bounded input signal must produce a bounded output signal. A bounded input signal is one where the modulus does not exceed a certain constant at any point in time.
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system.
Woodward–Hoffmann Selection Rules and Microscopic Reversibility01:34

Woodward–Hoffmann Selection Rules and Microscopic Reversibility

Electrocyclic reactions, cycloadditions, and sigmatropic rearrangements are concerted pericyclic reactions that proceed via a cyclic transition state. These reactions are stereospecific and regioselective. The stereochemistry of the products depends on the symmetry characteristics of the interacting orbitals and the reaction conditions. Accordingly, pericyclic reactions are classified as either symmetry-allowed or symmetry-forbidden. Woodward and Hoffmann presented the selection criteria for...
Distribution Reliability and Automation01:25

Distribution Reliability and Automation

Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
Design Example: Strain Gauge Bridge or Wheatstone Bridge01:15

Design Example: Strain Gauge Bridge or Wheatstone Bridge

The utilization of strain gauges as transducers for converting mechanical strain into electrical signals is a common practice in various engineering applications. These strain gauges are frequently integrated into Wheatstone bridge circuits to accurately measure parameters such as force or pressure. Within this context, each element within the circuit exhibits a resistance that undergoes subtle variations when subjected to mechanical strain. The primary objective is to convert minuscule...
Sign Test for Matched Pairs01:17

Sign Test for Matched Pairs

The sign test for matched pairs offers a robust method for comparing two paired samples, often for the effects of an intervention in one of them. This method is very useful in situations where the underlying distribution of the data is unknown. The test compares two related samples—often pre- and post-treatment measurements on the same subjects—to determine if there are significant differences in their median values.
To conduct the sign test, we first calculate the differences in value between...
Signal Flow Graphs01:18

Signal Flow Graphs

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Related Experiment Videos

A martingale framework for detecting changes in data streams by testing exchangeability.

Shen-Shyang Ho1, Harry Wechsler

  • 1Center for Automated Research, University of Maryland Institute for Advanced Computer Studies, A.V. Williams Building, College Park, MD 20742, USA. hoshensh@umd.edu

IEEE Transactions on Pattern Analysis and Machine Intelligence
|October 27, 2010
PubMed
Summary
This summary is machine-generated.

This study introduces a martingale approach for detecting changes in data streams by testing data exchangeability. This efficient, nonparametric method effectively identifies model shifts in various data types and outperforms existing techniques.

Related Experiment Videos

Area of Science:

  • Computer Science
  • Statistics
  • Machine Learning

Background:

  • Data streams present challenges due to sequential observations and potential changes in the underlying data-generating model.
  • Detecting these changes is crucial for maintaining model accuracy and reliability in dynamic environments.

Purpose of the Study:

  • To propose a novel method for detecting changes in data streams by leveraging the concept of data exchangeability.
  • To introduce an efficient, nonparametric, one-pass algorithm based on martingales for change detection.

Main Methods:

  • The core methodology involves testing the exchangeability property of observed data points in a sequential manner.
  • A martingale-based approach is developed as an efficient, nonparametric, one-pass algorithm.
  • The algorithm's effectiveness is evaluated across classification, clustering, and regression data-generating models.

Main Results:

  • Experimental results demonstrate the feasibility and effectiveness of the martingale methodology in detecting changes in time-varying data streams.
  • An adaptive support vector machine (SVM) using the martingale approach showed superior performance compared to an SVM with a sliding window.
  • A multiple martingale video-shot change detector achieved better results than standard shot-change detection algorithms.

Conclusions:

  • The martingale approach provides an effective and efficient solution for detecting changes in data streams.
  • This nonparametric, one-pass algorithm is versatile and applicable to diverse data-generating models.
  • The proposed methodology offers advantages over existing techniques, including sliding windows and standard shot-change detectors.