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ICMCS
2009
IEEE
115views Multimedia» more  ICMCS 2009»
13 years 8 months ago
A framework to detect and classify activity transitions in low-power applications
Minimizing the number of computations a low-power device makes is important to achieve long battery life. In this paper we present a framework for a low-power device to minimize t...
Jeffrey Boyd, Hari Sundaram
COMAD
2008
14 years 12 days ago
Ambiguity: Hide the Presence of Individuals and Their Privacy with Low Information Loss
Publishing a database instance containing individual information poses two kinds of privacy risk: presence leakage, by which the attackers can explicitly identify individuals in (...
Hui Wang
ISSS
2002
IEEE
106views Hardware» more  ISSS 2002»
14 years 3 months ago
Modeling Assembly Instruction Timing in Superscalar Architectures
This paper proposes an original model of the execution time of assembly instructions in superscalar architectures. The approach is based on a rigorous mathematical model and provi...
William Fornaciari, Vito Trianni, Carlo Brandolese...
ICMCS
2005
IEEE
185views Multimedia» more  ICMCS 2005»
14 years 4 months ago
Automatic Object Trajectory-Based Motion Recognition Using Gaussian Mixture Models
In this paper, we propose a novel technique for modelbased recognition of complex object motion trajectories using Gaussian Mixture Models (GMM). We build our models on Principal ...
Faisal I. Bashir, Ashfaq A. Khokhar, Dan Schonfeld

Publication
170views
13 years 10 months ago
Covariance Regularization for Supervised Learning in High Dimensions
This paper studies the effect of covariance regularization for classific ation of high-dimensional data. This is done by fitting a mixture of Gaussians with a regularized covaria...
Daniel L. Elliott, Charles W. Anderson, Michael Ki...