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» Maximum Likelihood Face Detection
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AVSS
2005
IEEE
14 years 1 months ago
Multi-modal face image super-resolutions in tensor space
Face images of non-frontal views under poor illumination with low resolution reduce dramatically face recognition accuracy. To overcome these problems, super-resolution techniques...
Kui Jia, Shaogang Gong
FPL
2006
Springer
135views Hardware» more  FPL 2006»
13 years 11 months ago
FPGA Design Considerations in the Implementation of a Fixed-Throughput Sphere Decoder for MIMO Systems
A field-programmable gate array (FPGA) implementation of a new detection algorithm for uncoded multiple inputmultiple output (MIMO) systems based on the complex version of the sph...
Luis G. Barbero, John S. Thompson
ICPR
2010
IEEE
13 years 5 months ago
Patch-Based Similarity HMMs for Face Recognition with a Single Reference Image
In this paper we present a new architecture for face recognition with a single reference image, which completely separates the training process from the recognition process. In th...
Ngoc-Son Vu, Alice Caplier
ICC
2009
IEEE
130views Communications» more  ICC 2009»
14 years 2 months ago
A New Reduced Complexity ML Detection Scheme for MIMO Systems
Abstract— For multiple-input multiple-output (MIMO) systems, the optimum maximum likelihood (ML) detection requires tremendous complexity as the number of antennas or modulation ...
Jin-Sung Kim, Sung Hyun Moon, Inkyu Lee
GLOBECOM
2007
IEEE
14 years 1 months ago
Reduced Complexity Sequence Detection of Continuous Phase Modulation Represented as the Linear Superposition of Amplitude Modula
The Laurent Decomposition expresses any binary single-h CPM waveform as the summation of a finite number of pulse amplitude modulated components, and this result has been useful i...
Marilynn P. Wylie-Green, Erik Perrins