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» Discriminative simplification of mixture models
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DPHOTO
2010
360views Hardware» more  DPHOTO 2010»
13 years 8 months ago
Signal-dependent raw image denoising using sensor noise characterization via multiple acquisitions
Accurate noise level estimation is essential to assure good performance of noise reduction filters. Noise contaminating raw images is typically modeled as additive white and Gauss...
Angelo Bosco, Arcangelo Bruna, D. Giacalone, Sebas...
AVBPA
2003
Springer
121views Biometrics» more  AVBPA 2003»
13 years 12 months ago
Enhanced VQ-Based Algorithms for Speech Independent Speaker Identification
Abstract. Weighted distance measure and discriminative training are two different approaches to enhance VQ-based solutions for speaker identification. To account for varying import...
Ningping Fan, Justinian P. Rosca
AIA
2006
13 years 8 months ago
FPGA-Targeted Neural Architecture for Embedded Alertness Detection
Several recent works have used neural networks to discriminate vigilance states in humans from electroencephalographic (EEG) signals. Our study aims at being more exhaustive. It t...
Bernard Girau, Khaled Ben Khalifa
ICASSP
2010
IEEE
13 years 7 months ago
Swift: Scalable weighted iterative sampling for flow cytometry clustering
Flow cytometry (FC) is a powerful technology for rapid multivariate analysis and functional discrimination of cells. Current FC platforms generate large, high-dimensional datasets...
Iftekhar Naim, Suprakash Datta, Gaurav Sharma, Jam...
CVPR
2007
IEEE
14 years 1 months ago
Fisher Kernels on Visual Vocabularies for Image Categorization
Within the field of pattern classification, the Fisher kernel is a powerful framework which combines the strengths of generative and discriminative approaches. The idea is to ch...
Florent Perronnin, Christopher R. Dance