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SDM
2012
SIAM
322views Data Mining» more  SDM 2012»
13 years 9 months ago
Adaptive Multi-task Sparse Learning with an Application to fMRI Study
In this paper, we consider the multi-task sparse learning problem under the assumption that the dimensionality diverges with the sample size. The traditional l1/l2 multi-task lass...
Xi Chen, Jingrui He, Rick Lawrence, Jaime G. Carbo...
CVPR
2009
IEEE
17 years 1 months ago
A Revisit of Generative Model for Automatic Image Annotation using Markov Random Fields
Much research effort on Automatic Image Annotation (AIA) has been focused on Generative Model, due to its well formed theory and competitive performance as compared with many we...
Yu Xiang (Fudan University), Xiangdong Zhou (Fudan...
DAC
2005
ACM
16 years 7 months ago
Hardware speech recognition for user interfaces in low cost, low power devices
We propose a system architecture for real-time hardware speech recognition on low-cost, power-constrained devices. The system is intended to support real-time speech-based user in...
Sergiu Nedevschi, Rabin K. Patra, Eric A. Brewer
LCN
2008
IEEE
16 years 1 months ago
Modeling of two-flow interactions under SINR model in Multi-hop Wireless Networks
—Carrier Sense Multiple Access (CSMA) protocols in Multi-hop Wireless Networks (MHWN) are known to suffer from different forms of the hidden and exposed terminal problems, leadin...
Saquib Razak, Nael B. Abu-Ghazaleh, Vinay Kolar
BMCBI
2005
89views more  BMCBI 2005»
15 years 6 months ago
An empirical analysis of training protocols for probabilistic gene finders
Background: Generalized hidden Markov models (GHMMs) appear to be approaching acceptance as a de facto standard for state-of-the-art ab initio gene finding, as evidenced by the re...
William H. Majoros, Steven Salzberg