Linear Discriminant Analysis (LDA) has been a popular method for feature extracting and face recognition. As a supervised method, it requires manually labeled samples for training...
—We study the localization problem in sparse 3D underwater sensor networks. Considering the fact that depth information is typically available for underwater sensors, we transfor...
Wei Cheng, Amin Y. Teymorian, Liran Ma, Xiuzhen Ch...
Statistical learning methods are commonly applied in content-based video and image retrieval. Such methods require a large number of examples which are usually obtained through a ...
Timo Volkmer, James A. Thom, Seyed M. M. Tahaghogh...
We describe an efficient, top-down strategy for overlap removal and floorplan repair which repairs overlaps in floorplans produced by placement algorithms or rough floorplanni...
Kristofer Vorwerk, Andrew A. Kennings, Doris T. Ch...
According to the recent theory of compressed sensing, accurate reconstruction is possible even from data samples dramatically smaller than Nyquist sampling limit as long as the un...