Now showing items 1333-1352 of 3033

    • Learning implicit user interest hierarchy for context in personalization 

      Kim, Hyoung-Rae; Chan, Philip K. (2002-10-05)
      To provide a more robust context for personalization, we desire to extract a continuum of general (long-term) to specific (short-term) interests of a user. Our proposed approach is to learn a user interest hierarchy (UIH) ...
    • Learning implicit user interest hierarchy for web personalization 

      Kim, Hyoung-Rae (2005-04-19)
      Most web search engines are designed to serve all users in a general way, without considering the interests of individual users. In contrast, personalized web search engines incorporate an individual user's interests when ...
    • Learning Meaningful Representations of Surgical Motion Without Annotations 

      DiPietro, Robert (2019)
      Superior technical skill in the operating room is associated with better patient outcomes [3,18], and at the core of surgical education is the belief that technical skill is improved through deliberate practice and appropriate ...
    • Learning models of network traffic for detecting novel attacks 

      Mahoney, Matthew V.; Chan, Philip K. (2002-05-24)
      Network intrusion detection systems often rely on matching patterns that are gleaned from known attacks. While this method is reliable and rarely produces false alarms, it has the obvious disadvantage that it cannot detect ...
    • Learning nonstationary models of normal network traffic for detecting novel attacks 

      Mahoney, Matthew V.; Chan, Philip K. (2002-04-29)
      Traditional intrusion detection systems (IDS) detect attacks by comparing current behavior to signatures of known attacks. One main drawback is the inability of detecting new attacks which do not have known signatures. In ...
    • Learning rules for anomaly detection of hostile network traffic 

      Mahoney, Matthew V.; Chan, Philip K. (2003-06-10)
      We introduce an algorithm called LERAD that learns rules for finding rare events in nominal time-series data with long range dependencies. We use LERAD to find anomalies in network packets and TCP sessions to detect novel ...
    • Learning rules for time series anomaly detection 

      Mahoney, Matthew V.; Chan, Philip K. (2005-02-17)
      We describe a multi-dimensional time series anomaly detection method in which each point in a test series is required to match the value, slope, and curvature of a point seen in training (with an optional sequential ...
    • Learning rules from system call arguments and sequences for anomaly detection 

      Tandon, Gaurav; Chan, Philip K. (2003-06-11)
      Many approaches have been suggested and various systems have been modeled to detect intrusions from anomalous behavior of systems calls as a result of an attack. Though these techniques have been shown to be quite effective, ...
    • Learning states and rules for time series anomaly detection 

      Salvador, Stan; Chan, Philip K.; Brodie, John (2003-03-09)
      In this paper, we investigate machine learning techniques for discovering knowledge that can be used to monitor the operation of devices or systems. Specifically, we study methods for generating models that can detect ...
    • Learning states for detecting anomalies in time series 

      Salvador, Stan Weidner (2004-04-24)
      The normal operation of a device can be characterized in different operational states. To identify these states, we introduce a segmentation algorithm called Gecko that can determine a reasonable number of segments using ...
    • Leveraging Stimulus Equivalence to Teach Piano to Children with Autism 

      Hussain, Krystin Katherine (2018-12)
      Music-based interventions have been shown to benefit individuals diagnosed with autism spectrum disorder (ASD) by improving deficits such as social behaviors, communication, and vocalizations, as well as reducing behavioral ...
    • Light Exoskeleton Gear (L.E.G.) 

      Myers, Andy; Al Matouq, Ali; DeJesus-Banos, Kelsey; Vidmark, Jessica
      The L.E.G. combines the inherent mechanical support of a knee brace with extra assistance provided in a similar way as a robotic leg. Surface Electromyography (SEMG) sensors are connected to the user’s leg to assess ...
    • Lighting a Path to Biofouling Prevention: Investigating the Effect of Ultraviolet Light on Biofouling 

      Braga, Cierra Rose (2018-12)
      Ultraviolet light (UV) is considered an environmentally friendly antifouling method because it disrupts biological growth without the release of harmful toxins. The application of UV for the marine shipping industry is ...
    • The lightning-TGF relationship on microsecond timescales 

      Cummer, Steven A.; Lu, Gaopeng; Briggs, Michael S.; Connaughton, Valerie; Xiong, Shaolin; Fisherman, Gerald Jerry; Dwyer, Joseph R. (2011-07-28)
      We analyze the count rates of two terrestrial gamma-ray flashes (TGFs) detected by the Fermi Gamma-ray Burst Monitor (GBM) with the broadband magnetic fields (1 to 300 kHz) produced by the simultaneous lightning processes. ...
    • Limits on spacetime foam 

      Christiansen, Wayne A.; Ng, Yeejack; Floyd, David J. E.; Perlman, Eric S. (2011-04-04)
      Plausibly spacetime is foamy on small distance scales, due to quantum fluctuations. We elaborate on the proposal to detect spacetime foam by looking for seeing disks in the images of distant quasars and active galactic ...
    • Line detection using Wavelet filters 

      Udomhunsakul, Somkait; Kozaitis, S.P.; Sritheeravirojana, Uthai Thai (2003-09-25)
      We proposed a new line detection method in noisy images using Mexican hat wavelet filters. In our approach, we applied the wavelet transform in a multiresolution sense by forming the products of wavelet coefficients at the ...
    • Lineal feature detection of rural imagery using multiresolution filters 

      Kozaitis, S.P.; Cofer, Rufus H. (2003-08-14)
      We detected roads in aerial imagery using a method based on lineal feature detection. Our method used the products of wavelet coefficients at several scales were to identify and locate lineal features. Using our approach ...
    • Linear feature detection using multiresolution wavelet filters 

      Kozaitis, S.P.; Udomhunsakul, Somkait; Cofer, Rufus H.; Agarawal, A.; Song, Shuwu (2002-08-06)
      We detected roads in aerial imagery based on multiresolution linear feature detection. Our method used the products of wavelet coefficients at several scales to identify and locate linear features. After detecting possible ...
    • Linear functional differential equations possessing solutions with a given growth rate 

      Agarwal, Ravi P.; Rontó, András (2005-02-01)
      We establish optimal, in a sense, conditions under which, for arbitrary forcing terms from a suitable class, a linear inhomogeneous functional differential equation in a preordered Banach space possesses solutions satisfying ...
    • Linear Inductive Position Sensor 

      Clark, Brittany; Vreeland, Erin
      The aim of this project is to create a linear position sensor with an accuracy of 1 μm. Two 'driving' inductors are powered by a frequency generator with a magnitude of 4.5 V and a frequency of 1.5 kHz. The inductors create ...