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65
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CDC
2009
IEEE
158views Control Systems» more  CDC 2009»
15 years 1 months ago
Multiple target detection using Bayesian learning
In this paper, we study multiple target detection using Bayesian learning. The main aim of the paper is to present a computationally efficient way to compute the belief map update ...
Sujit Nair, Konda Reddy Chevva, Houman Owhadi, Jer...
ECCV
2010
Springer
15 years 1 months ago
Detection and Tracking of Large Number of Targets in Wide Area Surveillance
In this paper, we tackle the problem of object detection and tracking in a new and challenging domain of wide area surveillance. This problem poses several challenges: large camera...
75
Voted
ICASSP
2011
IEEE
14 years 1 months ago
Low-complexity detection of golden codes in LDPC-coded OFDM systems
Recent and next-generation wireless broadcasting standards, such as DVB-T2 or DVB-NGH, are considering distributed multi-antenna transmission in order to increase bandwidth effic...
Iker Sobron, Maitane Barrenechea, Pello Ochandiano...
93
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GCB
2000
Springer
137views Biometrics» more  GCB 2000»
15 years 1 months ago
Detecting Sporadic Recombination in DNA Alignments with Hidden Markov Models
Conventional phylogenetic tree estimation methods assume that all sites in a DNA multiple alignment have the same evolutionary history. This assumption is violated in data sets fro...
Dirk Husmeier, Frank Wright
ECCV
2010
Springer
14 years 11 months ago
A coarse-to-fine taxonomy of constellations for fast multi-class object detection
In order for recognition systems to scale to a larger number of object categories building visual class taxonomies is important to achieve running times logarithmic in the number o...