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KDD
2010
ACM
287views Data Mining» more  KDD 2010»
14 years 12 months ago
Designing efficient cascaded classifiers: tradeoff between accuracy and cost
We propose a method to train a cascade of classifiers by simultaneously optimizing all its stages. The approach relies on the idea of optimizing soft cascades. In particular, inst...
Vikas C. Raykar, Balaji Krishnapuram, Shipeng Yu
MOBIHOC
2009
ACM
15 years 10 months ago
Improved bounds on the throughput efficiency of greedy maximal scheduling in wireless networks
Due to its low complexity, Greedy Maximal Scheduling (GMS), also known as Longest Queue First (LQF), has been studied extensively for wireless networks. However, GMS can result in...
Mathieu Leconte, Jian Ni, Rayadurgam Srikant
IFIP
1994
Springer
15 years 2 months ago
Program Speedups in Theory and Practice
The aim of this discussion paper is to stimulate (or perhaps to provoke) stronger interactions among theoreticians and practitioners interested in efficient problem solutions. We ...
Neil D. Jones
CDC
2008
IEEE
15 years 4 months ago
Effects of topology in networked systems: Stochastic methods and small worlds
— The topology of a networked control system has critical consequences for its performance. We provide first substantial examples on the effects of topology. Then we proceed to ...
John S. Baras, Pedram Hovareshti
ICDAR
2009
IEEE
14 years 7 months ago
Stochastic Model of Stroke Order Variation
A stochastic model of stroke order variation is proposed and applied to the stroke-order free on-line Kanji character recognition. The proposed model is a hidden Markov model (HMM...
Yoshinori Katayama, Seiichi Uchida, Hiroaki Sakoe