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146
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ML
2012
ACM
385views Machine Learning» more  ML 2012»
13 years 10 months ago
An alternative view of variational Bayes and asymptotic approximations of free energy
Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...
Kazuho Watanabe
SDM
2009
SIAM
114views Data Mining» more  SDM 2009»
15 years 11 months ago
GAD: General Activity Detection for Fast Clustering on Large Data.
In this paper, we propose GAD (General Activity Detection) for fast clustering on large scale data. Within this framework we design a set of algorithms for different scenarios: (...
Jiawei Han, Liangliang Cao, Sangkyum Kim, Xin Jin,...
120
Voted
NETWORKING
2004
15 years 3 months ago
Call-Burst Blocking Probabilities of ON-OFF Traffic Sources under the Bandwidth Reservation Policy
Abstract. We calculate call and burst blocking probabilities (CBP and BBP respectively) in a single link loss system accommodating service-classes of ONOFF traffic calls, either of...
Ioannis D. Moscholios, Michael D. Logothetis
TCOM
2010
110views more  TCOM 2010»
15 years 24 days ago
Joint data QR-detection and Kalman estimation for OFDM time-varying Rayleigh channel complex gains
—This paper deals with the case of a high speed mobile receiver operating in an orthogonal-frequency-divisionmultiplexing (OFDM) communication system. Assuming the knowledge of d...
Hussein Hijazi, Laurent Ros
153
Voted
CSREAESA
2010
15 years 13 days ago
An Approach for Efficient Real Time Moving Object Detection
Moving object detection is essential for real-time surveillance; however, it is challenging to support moving object detection in a timely fashion due to the compute-intensive natu...
Arnab Roy, Sanket Shinde, Kyoung-Don Kang