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ICMLA
2009
13 years 5 months ago
Transformation Learning Via Kernel Alignment
This article proposes an algorithm to automatically learn useful transformations of data to improve accuracy in supervised classification tasks. These transformations take the for...
Andrew Howard, Tony Jebara
ASPDAC
2007
ACM
96views Hardware» more  ASPDAC 2007»
13 years 11 months ago
Hierarchical Optimization Methodology for Wideband Low Noise Amplifiers
In this paper, we present a systematic synthesis methodology for fully integrated wideband low noise amplifiers that simultaneously optimizes impedance matching, noise figure, and ...
Arthur Nieuwoudt, Tamer Ragheb, Yehia Massoud
ICML
2006
IEEE
14 years 8 months ago
Deterministic annealing for semi-supervised kernel machines
An intuitive approach to utilizing unlabeled data in kernel-based classification algorithms is to simply treat unknown labels as additional optimization variables. For marginbased...
Vikas Sindhwani, S. Sathiya Keerthi, Olivier Chape...
CDC
2009
IEEE
208views Control Systems» more  CDC 2009»
13 years 8 months ago
Sensor selection for hypothesis testing in wireless sensor networks: a Kullback-Leibler based approach
We consider the problem of selecting a subset of p out of n sensors for the purpose of event detection, in a wireless sensor network (WSN). Occurrence or not of the event of intere...
Dragana Bajovic, Bruno Sinopoli, João Xavie...
CDC
2008
IEEE
236views Control Systems» more  CDC 2008»
14 years 2 months ago
Non-monotonic Lyapunov functions for stability of discrete time nonlinear and switched systems
Abstract— We relax the monotonicity requirement of Lyapunov’s theorem to enlarge the class of functions that can provide certificates of stability. To this end, we propose two...
Amir Ali Ahmadi, Pablo A. Parrilo