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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...
RTSS
1999
IEEE
14 years 2 months ago
Design and Implementation of Statistical Rate Monotonic Scheduling in KURT Linux
Statistical Rate Monotonic Scheduling (SRMS) is a generalization of the classical RMS results of Liu and Layland [LL73] for periodic tasks with highly variable execution times and...
Alia Atlas, Azer Bestavros
SADM
2010
128views more  SADM 2010»
13 years 8 months ago
Online training on a budget of support vector machines using twin prototypes
: This paper proposes twin prototype support vector machine (TVM), a constant space and sublinear time support vector machine (SVM) algorithm for online learning. TVM achieves its ...
Zhuang Wang, Slobodan Vucetic
ECCV
2006
Springer
14 years 12 months ago
Cyclostationary Processes on Shape Spaces for Gait-Based Recognition
Abstract. We present a geometric and statistical approach to gaitbased human recognition. The novelty here is to consider observations of gait, considered as planar silhouettes, to...
David Kaziska, Anuj Srivastava
HAIS
2010
Springer
14 years 2 months ago
Recognition of Manual Actions Using Vector Quantization and Dynamic Time Warping
The recognition of manual actions, i.e., hand movements, hand postures and gestures, plays an important role in human-computer interaction, while belonging to a category of particu...
Marcel Martin, Jonathan Maycock, Florian Paul Schm...