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» Testing of Image Processing Algorithms on Synthetic Data
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ICASSP
2011
IEEE
14 years 7 months ago
Phase-sensitive speech enhancement for cochlear implant processing
In this paper, we present a new approach to enhance noisy speech based on an environmental model incorporating the phase between noise and clean speech (often called phasesensitiv...
Pourya S. Jafari, Hou-Yong Kang, Xiaosong Wang, Qi...
BMCBI
2004
181views more  BMCBI 2004»
15 years 3 months ago
Iterative class discovery and feature selection using Minimal Spanning Trees
Background: Clustering is one of the most commonly used methods for discovering hidden structure in microarray gene expression data. Most current methods for clustering samples ar...
Sudhir Varma, Richard Simon
ICMCS
2006
IEEE
130views Multimedia» more  ICMCS 2006»
15 years 10 months ago
Directional Weighting-Based Demosaicking Algorithm for Noisy CFA Environments
Captured CFA data by image sensors like CCD/or CMOS are often corrupted by noises. To produce high quality images acquired by CCD/CMOS digital cameras, the problem of noise needs ...
Hung-Yi Lo, Tsung-Nan Lin, Chih-Lung Hsu, Cheng-hs...
ECCV
2002
Springer
16 years 5 months ago
Face Recognition from Long-Term Observations
We address the problem of face recognition from a large set of images obtained over time - a task arising in many surveillance and authentication applications. A set or a sequence ...
Gregory Shakhnarovich, John W. Fisher III, Trevor ...
IJCV
2002
143views more  IJCV 2002»
15 years 3 months ago
Trinocular Stereo: A Real-Time Algorithm and its Evaluation
In telepresence applications each user is immersed in a rendered 3D-world composed from representations transmitted from remote sites. The challenge is to compute dense range data...
Jane Mulligan, Volkan Isler, Konstantinos Daniilid...