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JMLR
2012
13 years 9 months ago
Multi Kernel Learning with Online-Batch Optimization
In recent years there has been a lot of interest in designing principled classification algorithms over multiple cues, based on the intuitive notion that using more features shou...
Francesco Orabona, Jie Luo, Barbara Caputo
EDBT
2008
ACM
85views Database» more  EDBT 2008»
16 years 6 months ago
Optimizing on-demand data broadcast scheduling in pervasive environments
Data dissemination in pervasive environments is often accomplished by on-demand broadcasting. The time critical nature of the data requests plays an important role in scheduling t...
Rinku Dewri, Indrakshi Ray, Indrajit Ray, Darrell ...
ICC
2007
IEEE
16 years 26 days ago
Optimizing Linear Dispersion Codes for Wideband MIMO Systems
Abstract— We consider the problem of designing space-timefrequency linear dispersion (LD) codes in wideband multipleinput multiple-output (MIMO) antenna systems employing orthogo...
Luca Venturino, Narayan Prasad, Xiaodong Wang, Moh...
WINE
2005
Springer
147views Economy» more  WINE 2005»
16 years 15 hour ago
Optimal Starting Price in Online Auctions
Reserve price auctions are one of hot research topics in the traditional auction theory. Here we study the starting price in an online auction, counterpart of the public reserve pr...
Hai Yu, Shouyang Wang, Chuangyin Dang
CAV
2003
Springer
140views Hardware» more  CAV 2003»
15 years 11 months ago
Certifying Optimality of State Estimation Programs
Abstract. The theme of this paper is certifying software for state estimation of dynamic systems, which is an important problem found in spacecraft, aircraft, geophysical, and in m...
Grigore Rosu, Ram Prasad Venkatesan, Jon Whittle, ...