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» Combined image signal processing for CMOS image sensors
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NIPS
1998
14 years 10 months ago
Modeling Surround Suppression in V1 Neurons with a Statistically Derived Normalization Model
We examine the statistics of natural monochromatic images decomposed using a multi-scale wavelet basis. Although the coefficients of this representation are nearly decorrelated, t...
Eero P. Simoncelli, Odelia Schwartz
IPPS
2007
IEEE
15 years 3 months ago
Pipelining Tradeoffs of Massively Parallel SuperCISC Hardware Functions
Parallel processing using multiple processors is a well-established technique to accelerate many different classes of applications. However, as the density of chips increases, ano...
Colin J. Ihrig, Justin Stander, Alex K. Jones
CVPR
2010
IEEE
15 years 5 months ago
Increasing depth resolution of Electron Microscopy of Neural circuits using Sparse Tomographic reconstruction
Future progress in neuroscience hinges on reconstruction of neuronal circuits to the level of individual synapses. Because of the specifics of neuronal architecture, imaging must ...
Ashok Veeraraghavan, Alex Genkin, Shiv Vitaladevun...
115
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ICMI
2004
Springer
281views Biometrics» more  ICMI 2004»
15 years 2 months ago
Articulatory features for robust visual speech recognition
Visual information has been shown to improve the performance of speech recognition systems in noisy acoustic environments. However, most audio-visual speech recognizers rely on a ...
Kate Saenko, Trevor Darrell, James R. Glass
MM
2010
ACM
221views Multimedia» more  MM 2010»
14 years 9 months ago
Building book inventories using smartphones
Manual generation of a book inventory is time-consuming and tedious, while deployment of barcode and radio-frequency identification (RFID) management systems is costly and afforda...
David M. Chen, Sam S. Tsai, Bernd Girod, Cheng-Hsi...