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Active learning methods automatically adapt data collection by selecting the most informative samples in order to accelerate machine learning. Because of this, real-world testing and comparing active learning algorithms requires collecting new datasets (adaptively), rather than simply applying algorithms to benchmark datasets, as is the norm in (passive)(More)
The goal of ordinal embedding is to represent items as points in a low-dimensional Euclidean space given a set of constraints in the form of distance comparisons like " item i is closer to item j than item k ". Ordinal constraints like this often come from human judgments. To account for errors and variation in judgments, we consider the noisy situation in(More)
UWB technology has unique features and promising applications in communications. For example, in wireless communications, the extremely wide operating bandwidth has the potential for high data-rate connections. However, the very low emission level has limited the wireless connection range to a few meters. UWB systems will coexist with other traditional(More)
SAR images are corrupted by speckle noise which is based on multiplicative noise or Reyleigh noise. The speckle degrades the quality of image and makes interpretations, analysis and classifications of SAR images harder. Therefore some speckle mitigation is necessary prior to the processing of SAR images. In this paper a new method is proposed for(More)
Multiplier is one of the major hardware circuits of microprocessor and high performance systems such as digital signal processor; FIR filters, processing operations like Convolution, Cross Correlation, and auto-correlation of discrete signals, digital Image processing applications such as edge detection etc. The major design constraint of multiplier is(More)
  • Wasim Maroofi, Lalit Jain, +7 authors W. Huang
  • 2015
Adaptive filtering forms a significant class of DSP algorithms employed in several hand held mobile devices for applications like echo cancellation, signal de-noising, and channel equalization. This paper presents a different pipelined architecture for low-power implementation of Adaptive filter based on distributed arithmetic (DA). The traditional(More)
Inpainting is the method by means of which we can fill the bemused areas of an image. To recreate the bemused areas in a visually probable way is the main end of image inpainting methods. There have been so many algorithms are presented for the same. Two types of methods are available in the market. We had made some advances in Exemplar based inpainting(More)
Inpainting also known as retouching is the process by which we try to fill in the damaged or missing portions of an image in such a way that it is unable for the person seeing the image to find the fault within the image. Digital Image In painting, a relatively young research area is an art of filling in the missing or corrupted regions in an image using(More)