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PRL
2006
114views more  PRL 2006»
15 years 2 months ago
Incremental training of support vector machines using hyperspheres
In the conventional incremental training of support vector machines, candidates for support vectors tend to be deleted if the separating hyperplane rotates as the training data ar...
Shinya Katagiri, Shigeo Abe
115
Voted
SIAMJO
2010
100views more  SIAMJO 2010»
14 years 9 months ago
Explicit Sensor Network Localization using Semidefinite Representations and Facial Reductions
The sensor network localization, SNL , problem in embedding dimension r, consists of locating the positions of wireless sensors, given only the distances between sensors that are ...
Nathan Krislock, Henry Wolkowicz
APSCC
2007
IEEE
15 years 2 months ago
Joint Sink Mobility and Data Diffusion for Lifetime Optimization in Wireless Sensor Networks
Abstract— In this paper, we address the problem of lifetime optimization under storage constraint for wireless sensor networks with a mobile sink node. The problem is particularl...
Yu Gu, Hengchang Liu, Fei Song, Baohua Zhao
TOG
2012
199views Communications» more  TOG 2012»
13 years 5 months ago
Tracking surfaces with evolving topology
We present a method for recovering a temporally coherent, deforming triangle mesh with arbitrarily changing topology from an incoherent sequence of static closed surfaces. We solv...
Morten Bojsen-Hansen, Hao Li, Chris Wojtan
130
Voted
PODS
2002
ACM
167views Database» more  PODS 2002»
16 years 2 months ago
OLAP Dimension Constraints
In multidimensional data models intended for online analytic processing (OLAP), data are viewed as points in a multidimensional space. Each dimension has structure, described by a...
Carlos A. Hurtado, Alberto O. Mendelzon