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» Boosted Optimization for Network Classification
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ICCV
2003
IEEE
15 years 11 months ago
Object Recognition with Informative Features and Linear Classification
In this paper we show that efficient object recognition can be obtained by combining informative features with linear classification. The results demonstrate the superiority of in...
Michel Vidal-Naquet, Shimon Ullman
WICON
2008
14 years 11 months ago
Towards optimally exploiting physical layer information in OFDM wireless networks
Wireless communication is inherently vulnerable in nature and packets can be corrupted due to various reasons. The network performance can potentially be improved if one is able t...
Zheng Zeng, P. R. Kumar
ROBIO
2006
IEEE
153views Robotics» more  ROBIO 2006»
15 years 3 months ago
GA-based Feature Subset Selection for Myoelectric Classification
– This paper presents an ongoing investigation to select optimal subset of features from set of well-known myoelectric signals (MES) features in time and frequency domains. Four ...
Mohammadreza Asghari Oskoei, Huosheng Hu
NIPS
2004
14 years 11 months ago
Instance-Specific Bayesian Model Averaging for Classification
Classification algorithms typically induce population-wide models that are trained to perform well on average on expected future instances. We introduce a Bayesian framework for l...
Shyam Visweswaran, Gregory F. Cooper
EMNLP
2006
14 years 11 months ago
Competitive generative models with structure learning for NLP classification tasks
In this paper we show that generative models are competitive with and sometimes superior to discriminative models, when both kinds of models are allowed to learn structures that a...
Kristina Toutanova