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» An Improved Algorithm for Optimal Bin Packing
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ICASSP
2011
IEEE
12 years 9 months ago
Application specific loss minimization using gradient boosting
Gradient boosting is a flexible machine learning technique that produces accurate predictions by combining many weak learners. In this work, we investigate its use in two applica...
Bin Zhang, Abhinav Sethy, Tara N. Sainath, Bhuvana...
ACL
2006
13 years 6 months ago
Approximation Lasso Methods for Language Modeling
Lasso is a regularization method for parameter estimation in linear models. It optimizes the model parameters with respect to a loss function subject to model complexities. This p...
Jianfeng Gao, Hisami Suzuki, Bin Yu
MMAS
2010
Springer
13 years 4 hour ago
A Nonlinear PDE-Based Method for Sparse Deconvolution
In this paper, we introduce a new nonlinear evolution partial differential equation for sparse deconvolution problems. The proposed PDE has the form of continuity equation that ar...
Yu Mao, Bin Dong, Stanley Osher
TASLP
2010
142views more  TASLP 2010»
12 years 12 months ago
Beyond the Narrowband Approximation: Wideband Convex Methods for Under-Determined Reverberant Audio Source Separation
We consider the problem of extracting the source signals from an under-determined convolutive mixture assuming known mixing filters. State-of-the-art methods operate in the time-fr...
M. Kowalski, Emmanuel Vincent, Rémi Gribonv...
TCAD
2011
12 years 11 months ago
High-Level Synthesis for FPGAs: From Prototyping to Deployment
—Escalating system-on-chip design complexity is the design community to raise the level of abstraction beyond register transfer level. Despite the unsuccessful adoptions of early...
Jason Cong, Bin Liu, Stephen Neuendorffer, Juanjo ...