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JMLR
2010
143views more  JMLR 2010»
14 years 12 months ago
A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning
We extend the well-known BFGS quasi-Newton method and its memory-limited variant LBFGS to the optimization of nonsmooth convex objectives. This is done in a rigorous fashion by ge...
Jin Yu, S. V. N. Vishwanathan, Simon Günter, ...
BMCBI
2008
96views more  BMCBI 2008»
15 years 1 months ago
Use of normalization methods for analysis of microarrays containing a high degree of gene effects
Background: High-throughput microarrays are widely used to study gene expression across tissues and developmental stages. Analysis of gene expression data is challenging in these ...
Terri T. Ni, William J. Lemon, Yu Shyr, Tao P. Zho...
ICPR
2004
IEEE
16 years 2 months ago
Robust Carving for Non-Lambertian Objects
This paper presents a new surface reconstruction method that extends previous carving methods for non-Lambertian objects by integrating the smoothness and image information of dif...
Gang Zeng, Sylvain Paris, Long Quan
SPIRE
2010
Springer
14 years 12 months ago
Text Comparison Using Soft Cardinality
Abstract. The classical set theory provides a method for comparing objects using cardinality and intersection, in combination with well-known resemblance coefficients such as Dice,...
Sergio Jimenez, Fabio Gonzalez, Alexander F. Gelbu...
TSMC
2008
99views more  TSMC 2008»
15 years 1 months ago
Robust Regularized Kernel Regression
Robust regression techniques are critical to fitting data with noise in real-world applications. Most previous work of robust kernel regression is usually formulated into a dual fo...
Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu