Now showing items 900-911 of 911

    • Warehousing and Mining Web Logs 

      Joshi, Karuna P.; Joshi, Anupam; Yesha, Yelena; Krishnapuram, Raghu (ACM, 1999-11-02)
      Analyzing Web Logs for usage and access trends can not only provide important information to web site developers and administrators, but also help in creating adaptive web sites. While there are many existing tools that ...
    • Weakly Supervised Cascaded Convolutional Networks 

      Diba, Ali; Sharma, Vivek; Pazandeh, Ali; Pirsiavash, Hamed; Gool, Luc Van (IEEE, 2017-07-26)
      Object detection is a challenging task in visual understanding domain, and even more so if the supervision is to be weak. Recently, few efforts to handle the task without expensive human annotations is established by ...
    • What Does it Mean for a URI to Resolve 

      Sachs, Joel; Finin, Tim (AAAI, 2010-03-22)
      Amongst the best practices that constitute Linked Data, one of the foremost is to use only HTTP-URIs as identifiers for RDF resources. This is so that the URI will resolve in a Linked Data browser to give information about ...
    • Where Does Work End and Home Life Begin? 

      Berge, Zane L.; Bichy, Cassie; Grayson, Candice; Johnson, Anthony; Macadoff, Stephen; Nee, Kathryn (IGI Global Disseminator of Knowledge, 2009)
      Many years ago, it was a commonly held belief that technology would improve industries and service professions, which means that people could work shorter hours and their employers would make just as much money. Essentially, ...
    • Wide Band-Gap II-VI Compound Semiconductor Grown by MOCVD and its Application to Blue Laser Diodes 

      Chen, Dr. J. C. (1996-03)
      We have spent a great deal of effect in GaN as well as in ZnSe due to the rapid and more prom1smg development of GaN recently. We have performed intenstive material study on GaN, such as DLTS, TSC, photocurrent spectroscopy, ...
    • Wikipedia as an Ontology for Describing Documents 

      Syed, Zareen; Finin, Tim; Joshi, Anupam (AAAI, 2008-03-31)
      Identifying topics and concepts associated with a set of documents is a task common to many applications. It can help in the annotation and categorization of documents and be used to model a person's current interests for ...
    • Wikitology: Using Wikipedia as an Ontology 

      Syed, Zareen; Joshi, Anupam (2008-02-01)
      Identifying topics and concepts associated with a set of documents is a task common to many applications. It can help in the annotation and categorization of documents and be used to model a person's current interests for ...
    • Would a File by Any Other Name Seem as Malicious? 

      Nguyen, Andre T.; Raff, Edward; Sant-Miller, Aaron (2019-10-10)
      Successful malware attacks on information technology systems can cause millions of dollars in damage, the exposure of sensitive and private information, and the irreversible destruction of data. Anti-virus systems that ...
    • XPod a human activity and emotion aware mobile music player 

      Dornbush, Sandor; Fisher, Kevin; McKay, Kyle; Prikhodko, Alex; Segall, Zary (IEEE, 2005-11-17)
      In this paper, we consider the notion of collecting human emotion and activity information from the user, and explore how this information could be used to improve the user experience with mobile music players. This paper ...
    • XPod: A Human Activity Aware Learning Mobile Music Player 

      Dornbush, Sandor; English, Jesse; Oates, Tim; Segall, Zary; Joshi, Anupam (2007-01-08)
      The XPod system, presented in this paper, aims to integrate awareness of human activity and musical preferences to produce an adaptive system that plays the contextually correct music. The XPod project introduces a “smart” ...
    • Yahoo! as an ontology: using Yahoo! categories to describe documents 

      Labrou, Yannis; Finin, Tim (ACM, 1999-11-02)
      We suggest that one (or a collection) of names of Yahoo! (or any other WWW indexer's) categories can be used to describe the content of a document. Such categories offer a standardized and universal way for referring to ...
    • YieldPredict: A Crop Yield Prediction Framework for Smart Farms 

      Choudhary, Nitu Kedarmal; Chukkapalli, Sai Sree Laya; Mittal, Sudip; Gupta, Maanak; Abdelsalam, Mahmoud; Joshi, Anupam (2020-11-01)
      In recent years, machine learning approaches are gaining popularity with the advent of big data. The massive amount of data generated, when served as an input to machine learning approaches, provides useful insights. ...