Sciweavers

JSAC
2008
106views more  JSAC 2008»
13 years 11 months ago
A Low-Complexity Detector for Large MIMO Systems and Multicarrier CDMA Systems
We consider large MIMO systems, where by `large' we mean number of transmit and receive antennas of the order of tens to hundreds. Such large MIMO systems will be of immense i...
K. Vishnu Vardhan, Saif K. Mohammed, Ananthanaraya...
JCP
2008
138views more  JCP 2008»
13 years 11 months ago
Radar Signal Detection In Non-Gaussian Noise Using RBF Neural Network
In this paper, we suggest a neural network signal detector using radial basis function (RBF) network. We employ this RBF Neural detector to detect the presence or absence of a know...
Dilip Gopichand Khairnar, S. N. Merchant, Uday B. ...
IJON
2008
105views more  IJON 2008»
13 years 12 months ago
A comprehensive review of current local features for computer vision
Local features are widely utilized in a large number of applications, e.g., object categorization, image retrieval, robust matching, and robot localization. In this review, we foc...
Jing Li, Nigel M. Allinson
DSP
2006
13 years 12 months ago
Detection of audio covert channels using statistical footprints of hidden messages
We address the problem of detecting the presence of hidden messages in audio. The detector is based on the characteristics of the denoised residuals of the audio file, which may c...
Hamza Özer, Bülent Sankur, Nasir D. Memo...
BMCBI
2006
96views more  BMCBI 2006»
13 years 12 months ago
Bayesian detection of periodic mRNA time profiles without use of training examples
Background: Detection of periodically expressed genes from microarray data without use of known periodic and non-periodic training examples is an important problem, e.g. for ident...
Claes R. Andersson, Anders Isaksson, Mats G. Gusta...
CVIU
2008
144views more  CVIU 2008»
13 years 12 months ago
Speeded-Up Robust Features (SURF)
This article presents a novel scale- and rotation-invariant detector and descriptor, coined SURF (Speeded-Up Robust Features). SURF approximates or even outperforms previously pro...
Herbert Bay, Andreas Ess, Tinne Tuytelaars, Luc J....
CORR
2008
Springer
193views Education» more  CORR 2008»
13 years 12 months ago
Faster and better: a machine learning approach to corner detection
The repeatability and efficiency of a corner detector determines how likely it is to be useful in a real-world application. The repeatability is importand because the same scene vi...
Edward Rosten, Reid Porter, Tom Drummond
CORR
2008
Springer
123views Education» more  CORR 2008»
13 years 12 months ago
Large MIMO Detection: A Low-Complexity Detector at High Spectral Efficiencies
We consider large MIMO systems, where by `large' we mean number of transmit and receive antennas of the order of tens to hundreds. Such large MIMO systems will be of immense i...
K. Vishnu Vardhan, Saif K. Mohammed, Ananthanaraya...
DSN
2000
IEEE
14 years 4 months ago
On the Quality of Service of Failure Detectors
ÐWe study the quality of service (QoS) of failure detectors. By QoS, we mean a specification that quantifies 1) how fast the failure detector detects actual failures and 2) how we...
Wei Chen, Sam Toueg, Marcos Kawazoe Aguilera
UM
2005
Springer
14 years 5 months ago
Detecting When Students Game the System, Across Tutor Subjects and Classroom Cohorts
Building a generalizable detector of student behavior within intelligent tutoring systems presents two challenges: transferring between different cohorts of students (who may devel...
Ryan Shaun Baker, Albert T. Corbett, Kenneth R. Ko...