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TKDE
2010
168views more  TKDE 2010»
15 years 1 months ago
Completely Lazy Learning
—Local classifiers are sometimes called lazy learners because they do not train a classifier until presented with a test sample. However, such methods are generally not complet...
Eric K. Garcia, Sergey Feldman, Maya R. Gupta, San...
135
Voted
CDC
2010
IEEE
141views Control Systems» more  CDC 2010»
14 years 10 months ago
Achieving higher frequencies in large-scale nonlinear model predictive control
We present new insights into how to achieve higher frequencies in large-scale nonlinear predictive control using truncated-like schemes. The basic idea is that, instead of solving ...
Victor M. Zavala, Mihai Anitescu
152
Voted
TSP
2010
14 years 10 months ago
A non-iterative technique for phase noise ICI mitigation in packet-based OFDM systems
In this paper, a practical approach for detecting packet-based orthogonal frequency division multiplexing (OFDM) signals in the presence of phase noise is presented. An OFDM packe...
Payam Rabiei, Won Namgoong, Naofal Al-Dhahir
142
Voted
TWC
2010
14 years 10 months ago
Maximum-likelihood noncoherent OSTBC detection with polynomial complexity
Abstract--We prove that maximum-likelihood (ML) noncoherent sequence detection of orthogonal space-time block coded signals can always be performed in polynomial time with respect ...
Dimitris S. Papailiopoulos, George N. Karystinos
112
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Probabilistic SINR constrained robust transmit beamforming: A Bernstein-type inequality based conservative approach
Recently, robust transmit beamforming has drawn considerable attention because it can provide guaranteed receiver performance in the presence of channel state information (CSI) er...
Kun-Yu Wang, Tsung-Hui Chang, Wing-Kin Ma, Anthony...