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ICCV
2009
IEEE
15 years 4 months ago
Learning with dynamic group sparsity
This paper investigates a new learning formulation called dynamic group sparsity. It is a natural extension of the standard sparsity concept in compressive sensing, and is motivat...
Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas
ICDE
2001
IEEE
141views Database» more  ICDE 2001»
16 years 8 months ago
TAR: Temporal Association Rules on Evolving Numerical Attributes
Data mining has been an area of increasing interests during recent years. The association rule discovery problem in particular has been widely studied. However, there are still so...
Wei Wang 0010, Jiong Yang, Richard R. Muntz
KDD
2006
ACM
136views Data Mining» more  KDD 2006»
16 years 7 months ago
Mining quantitative correlated patterns using an information-theoretic approach
Existing research on mining quantitative databases mainly focuses on mining associations. However, mining associations is too expensive to be practical in many cases. In this pape...
Yiping Ke, James Cheng, Wilfred Ng
GLOBECOM
2010
IEEE
15 years 4 months ago
Finding and Mending Barrier Gaps in Wireless Sensor Networks
Constructing sensing barriers using wireless sensor networks has important applications in military operations and homeland security. The goal of forming a sensing barrier is to de...
Anwar Saipulla, Benyuan Liu, Jie Wang
SIGMOBILE
2008
72views more  SIGMOBILE 2008»
15 years 6 months ago
RFID-based networks: exploiting diversity and redundancy
In this article, we outline a research agenda for developing protocols and algorithms for densely populated RFID based systems covering a wide geographic area. This will need mult...
Nitin Vaidya, Samir R. Das