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145
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STOC
1993
ACM
141views Algorithms» more  STOC 1993»
15 years 8 months ago
Bounds for the computational power and learning complexity of analog neural nets
Abstract. It is shown that high-order feedforward neural nets of constant depth with piecewisepolynomial activation functions and arbitrary real weights can be simulated for Boolea...
Wolfgang Maass
JSAC
2008
106views more  JSAC 2008»
15 years 4 months ago
A Low-Complexity Detector for Large MIMO Systems and Multicarrier CDMA Systems
We consider large MIMO systems, where by `large' we mean number of transmit and receive antennas of the order of tens to hundreds. Such large MIMO systems will be of immense i...
K. Vishnu Vardhan, Saif K. Mohammed, Ananthanaraya...
GPEM
2007
119views more  GPEM 2007»
15 years 4 months ago
Genomic mining for complex disease traits with "random chemistry"
Our rapidly growing knowledge regarding genetic variation in the human genome offers great potential for understanding the genetic etiology of disease. This, in turn, could revolut...
Margaret J. Eppstein, Joshua L. Payne, Bill C. Whi...
140
Voted
SDM
2009
SIAM
170views Data Mining» more  SDM 2009»
16 years 1 months ago
Mining Complex Spatio-Temporal Sequence Patterns.
Mining sequential movement patterns describing group behaviour in potentially streaming spatio-temporal data sets is a challenging problem. Movements are typically noisy and often...
Florian Verhein
155
Voted
GLOBECOM
2006
IEEE
15 years 10 months ago
Low-Complexity Turbo Equalization for Alamouti Space-Time Block Coded EDGE Systems
— Enhanced Data Rates for Global Evolution (EDGE) based systems are expected to facilitate the same services as third generation WCDMA systems. This goal is achieved through phys...
K. C. B. Wavegedara, Vijay K. Bhargava