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» Scale-Time Kernels and Models
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ICANN
2007
Springer
14 years 2 months ago
Selection of Basis Functions Guided by the L2 Soft Margin
Support Vector Machines (SVMs) for classification tasks produce sparse models by maximizing the margin. Two limitations of this technique are considered in this work: firstly, th...
Ignacio Barrio, Enrique Romero, Lluís Belan...
CODASPY
2012
12 years 4 months ago
Identifying native applications with high assurance
Main stream operating system kernels lack a strong and reliable mechanism for identifying the running processes and binding them to the corresponding executable applications. In t...
Hussain M. J. Almohri, Danfeng (Daphne) Yao, Denni...
RTCSA
2006
IEEE
14 years 2 months ago
Predictable Interrupt Scheduling with Low Overhead for Real-Time Kernels
In this paper we analyze the traditional model of interrupt management and its inability to incorporate the reliability and temporal predictability demanded by real-time systems. ...
Luis E. Leyva-del-Foyo, Pedro Mejía-Alvarez...
PPOPP
2010
ACM
14 years 3 months ago
An adaptive performance modeling tool for GPU architectures
This paper presents an analytical model to predict the performance of general-purpose applications on a GPU architecture. The model is designed to provide performance information ...
Sara S. Baghsorkhi, Matthieu Delahaye, Sanjay J. P...
ICCV
2011
IEEE
12 years 8 months ago
A Nonparametric Riemannian Framework on Tensor Field with Application to Foreground Segmentation
Background modelling on tensor field has recently been proposed for foreground detection tasks. Taking into account the Riemannian structure of the tensor manifold, recent resear...
Rui Caseiro, João F. Henriques, Pedro Martins, Jo...