Ann Arbor / Seattle / Ostendorf / Santa Barbara / Brisbane / Taipei / New York / Madison / Scale Content / Salt Lake City / Antwerp / Beijing / Vienna / Lisbon / San Diego / Weihai / Anchorage / /
Company
Feedburner / Google / Las Vegas NV / Microsoft / /
Country
Jordan / Austria / Australia / Portugal / China / Singapore / /
Currency
USD / /
IndustryTerm
signal processing communities / search result clustering / proposed search-based annotation / text search / web scale data sets / suitable web images / text-based search engine / then mining key phrases / search result / Web images / image processing researchers / media types / web service / Web Image Retrieval / spoken language processing / art systems / language processing / web queries / game-based labeling systems / experimental speech-based search engine / web-scale data sets / ost current services / Web Search Results / large data systems / image processing / image search engines / multimedia search / web search engines / web scale data / large scale Web image database / content-based search / web scale / web search / Web resources / multimedia signal processing / web data / search engine / text-based image search / text-based search / search efficiency / web-scale data / online photo forums / text mining technology / /
Organization
Univ. of Wisconsin / Pattern Analysis and Machine Intelligence / /
Person
M. Van Thong / P. J. Moreno / B. Fidler / M. Moores / K. Maffey / X. Xie / B. Logan / /
Position
model data collection / /
ProvinceOrState
Wisconsin / Q.C. / New York / Washington / Michigan / Utah / California / /
PublishedMedium
IEEE Transactions on Pattern Analysis and Machine Intelligence / Journal of the ACM / Machine Learning / Journal of Machine Learning Research / /
THE DATA DELUGE: CHALLENGES AND OPPOR TUNITIES OF UNLIMITED DATA IN STATISTICAL SIGNAL PROCESSING Michael L. Seltzer1 and Lei Zhang2 1. Speech Technology Group Microsoft Research Redmond, WA USA