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» Rapid image analysis using neural signals
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SSPR
2004
Springer
15 years 5 months ago
Adaptive Context for a Discrete Universal Denoiser
Abstract. Statistical analysis of spatially uniform signal contexts allows Discrete Universal Denoiser (DUDE) to effectively correct signal errors caused by a discrete symmetric me...
Georgy L. Gimel'farb
ICPR
2004
IEEE
16 years 27 days ago
Texture Analysis using Level-crossing Statistics
We present a novel statistical texture descriptor employing level-crossing statistics. Images are first mapped into 1D signals using space-filling curves, such as Peano or Hilbert...
Carlos Santamaria, Miroslaw Bober, Wieslaw Szajnow...
ICDAR
2009
IEEE
15 years 6 months ago
Error-Correcting Output Coding for the Convolutional Neural Network for Optical Character Recognition
It is known that convolutional neural networks (CNNs) are efficient for optical character recognition (OCR) and many other visual classification tasks. This paper applies error-co...
Huiqun Deng, George Stathopoulos, Ching Y. Suen
TIP
1998
135views more  TIP 1998»
14 years 11 months ago
Adaptive weighted highpass filters using multiscale analysis
In this paper, we propose a general framework for studying a class of weighted highpass filters. Our framework, based on a multiscale signal decomposition, allows us to study a w...
Robert D. Nowak, Richard G. Baraniuk
IPMI
2009
Springer
16 years 19 days ago
Persistence Diagrams of Cortical Surface Data
We present a novel framework for characterizing signals in images using techniques from computational algebraic topology. This technique is general enough for dealing with noisy mu...
Moo K. Chung, Peter Bubenik, Peter T. Kim