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» On demand classification of data streams
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SIAMCOMP
2002
152views more  SIAMCOMP 2002»
15 years 3 months ago
Maintaining Stream Statistics over Sliding Windows
We consider the problem of maintaining aggregates and statistics over data streams, with respect to the last N data elements seen so far. We refer to this model as the sliding wind...
Mayur Datar, Aristides Gionis, Piotr Indyk, Rajeev...
111
Voted
ICPR
2004
IEEE
16 years 4 months ago
Human Action Segmentation via Controlled Use of Missing Data in HMMs
Segmentation of individual actions from a stream of human motion is an open problem in computer vision. This paper approaches the problem of segmenting higher-level activities int...
Patrick Peursum, Hung Hai Bui, Svetha Venkatesh, G...
137
Voted
ICMCS
2009
IEEE
140views Multimedia» more  ICMCS 2009»
15 years 1 months ago
Resource-adaptive multimedia analysis on stream mining systems
Large-scale multimedia semantic concept detection requires realtime identification of a set of concepts in streaming video or large image datasets. The potentially high data volum...
Deepak S. Turaga, Rong Yan, Olivier Verscheure, Br...
121
Voted
CSCW
2010
ACM
16 years 8 days ago
Is it really about me?: message content in social awareness streams
In this work we examine the characteristics of social activity and patterns of communication on Twitter, a prominent example of the emerging class of communication systems we call...
Mor Naaman, Jeffrey Boase, Chih-Hui Lai
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
16 years 4 months ago
Efficient methods for topic model inference on streaming document collections
Topic models provide a powerful tool for analyzing large text collections by representing high dimensional data in a low dimensional subspace. Fitting a topic model given a set of...
Limin Yao, David M. Mimno, Andrew McCallum