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CORR
2011
Springer
167views Education» more  CORR 2011»
13 years 5 months ago
Fast global convergence of gradient methods for high-dimensional statistical recovery
Many statistical M-estimators are based on convex optimization problems formed by the weighted sum of a loss function with a norm-based regularizer. We analyze the convergence rat...
Alekh Agarwal, Sahand Negahban, Martin J. Wainwrig...
JMLR
2011
148views more  JMLR 2011»
13 years 4 months ago
Multitask Sparsity via Maximum Entropy Discrimination
A multitask learning framework is developed for discriminative classification and regression where multiple large-margin linear classifiers are estimated for different predictio...
Tony Jebara
CVPR
2009
IEEE
15 years 5 months ago
Granularity-tunable Gradients Partition (GGP) Descriptors for Human Detection
This paper proposes a novel descriptor, granularitytunable gradients partition (GGP), for human detection. The concept granularity is used to define the spatial and angular unce...
Yazhou Liu (Harbin Institute of Technology), Shigu...
ICIP
2007
IEEE
14 years 11 months ago
3D Human Motion Tracking using Manifold Learning
This paper introduces a framework to track 3D human movement using Gaussian process dynamic model (GPDM) and particle filter. The framework combines the particle filter and discri...
Feng Guo, Gang Qian
RECOMB
2009
Springer
14 years 10 months ago
A Robust Bayesian Two-Sample Test for Detecting Intervals of Differential Gene Expression in Microarray Time Series
Abstract. Understanding the regulatory mechanisms that are responsible for an organism's response to environmental changes is an important question in molecular biology. A fir...
Oliver Stegle, Katherine J. Denby, David L. Wild, ...