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KDD
2004
ACM
181views Data Mining» more  KDD 2004»
15 years 10 months ago
Column-generation boosting methods for mixture of kernels
We devise a boosting approach to classification and regression based on column generation using a mixture of kernels. Traditional kernel methods construct models based on a single...
Jinbo Bi, Tong Zhang, Kristin P. Bennett
81
Voted
KDD
2010
ACM
208views Data Mining» more  KDD 2010»
14 years 8 months ago
Towards mobility-based clustering
Identifying hot spots of moving vehicles in an urban area is essential to many smart city applications. The practical research on hot spots in smart city presents many unique feat...
Siyuan Liu, Yunhuai Liu, Lionel M. Ni, Jianping Fa...
SDM
2004
SIAM
212views Data Mining» more  SDM 2004»
14 years 11 months ago
Clustering with Bregman Divergences
A wide variety of distortion functions, such as squared Euclidean distance, Mahalanobis distance, Itakura-Saito distance and relative entropy, have been used for clustering. In th...
Arindam Banerjee, Srujana Merugu, Inderjit S. Dhil...
82
Voted
MOBIHOC
2006
ACM
15 years 3 months ago
Wakeup scheduling in wireless sensor networks
A large number of practical sensing and actuating applications require immediate notification of rare but urgent events and also fast delivery of time sensitive actuation command...
Abtin Keshavarzian, Huang Lee, Lakshmi Venkatraman
83
Voted
INFOCOM
2005
IEEE
15 years 3 months ago
A quantitative study of authentication and QoS in wireless IP networks
— With the increasing demand for secure and high-quality communications in public access wireless IP networks, it is very important to have an in-depth understanding of the relat...
Wei Liang, Wenye Wang