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Fundamental characteristics of successive lerarning by Test Feature Classifier(TFC), which is non-parametric and effective with small data, are examined. In the learning, a new set of training o...
Fixed pattern noise (FPN) or nonuniformity caused by device and interconnect parameter variations across an image sensor is a major source of image quality degradation especially in CMOS image sensors...
Hierarchical Temporal Memory (HTM) is still largely unknown by the pattern recognition community and only a few studies have been published in the scientific literature. This paper reviews HTM archite...
Stanford University is developing a controlled reception pattern antenna (CRPA) array with beam research testbed to evaluate CRPA algorithms and software tools, and their effects on GPS signals and sa...
This paper demonstrates a real-time software receiver supporting GPS L1 C/A controlled reception pattern antenna (CRPA) processing. The software receiver is implemented on a widely-available recent ge...
Controlled Reception Pattern Antenna array (CRPA) is an effective approach for rejecting interference and enhancing the received GNSS signal power.Conventionally, the antenna array used for CRPA is de...
The Controlled Reception Pattern Antenna (CRPA) is an effective approach for rejecting radio frequency interference. Conventionally, the dedicated CRPA antenna and hardware are usually precisely manuf...
The unsupervised learning of spectro-temporal patterns within speech signals is of interest in a broad range of applications. Where patterns are non-negative and convolutive in nature, relevant learni...
Landuse and land cover change (LUCC) is regarded as a good indicator that represents the impacts of human activities on the earth’s environment. When the large collection of multi-temporal satellite i...
Two main restrictions exist in state-of-the-art text detection algorithms: 1. Illumination variance; 2. Text-background contrast variance. This paper presents a robust text characterization approach ...

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