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ICC
2007
IEEE
13 years 12 months ago
Linear Precoding with Minimum BER Criterion for MIMO-OFDM Systems Employing ML Detection
Abstract— This paper proposes a new MIMO-OFDM precoding method that minimizes BER of the maximum likelihood detection (MLD). Conventional MIMO precoding methods can approximately...
Boonsarn Pitakdumrongkija, Kazuhiko Fukawa, Hirosh...
SDM
2009
SIAM
202views Data Mining» more  SDM 2009»
14 years 2 months ago
Proximity-Based Anomaly Detection Using Sparse Structure Learning.
We consider the task of performing anomaly detection in highly noisy multivariate data. In many applications involving real-valued time-series data, such as physical sensor data a...
Tsuyoshi Idé, Aurelie C. Lozano, Naoki Abe,...
CVPR
2012
IEEE
11 years 8 months ago
Robust late fusion with rank minimization
In this paper, we propose a rank minimization method to fuse the predicted confidence scores of multiple models, each of which is obtained based on a certain kind of feature. Spe...
Guangnan Ye, Dong Liu, I-Hong Jhuo, Shih-Fu Chang
ECCV
2006
Springer
14 years 7 months ago
Region Covariance: A Fast Descriptor for Detection and Classification
We describe a new region descriptor and apply it to two problems, object detection and texture classification. The covariance of d-features, e.g., the three-dimensional color vecto...
Oncel Tuzel, Fatih Porikli, Peter Meer
KDD
2002
ACM
113views Data Mining» more  KDD 2002»
14 years 6 months ago
Scalable robust covariance and correlation estimates for data mining
Covariance and correlation estimates have important applications in data mining. In the presence of outliers, classical estimates of covariance and correlation matrices are not re...
Fatemah A. Alqallaf, Kjell P. Konis, R. Douglas Ma...