The graph-based reranking methods have been proven effective in image and video search. The basic assumption behind them is the ranking score consistency, i.e., neighboring nodes (visually similar images or video shots) in a graph having close ranking scores, which is modeled through a regularizer term. The existing reranking methods utilise pair-wise regularizers, e.g., the Laplacian regulariz...

1047-3203/$ see front matter 2013 Elsevier Inc. A http://dx.doi.org/10.1016/j.jvcir.2013.01.010 ⇑ Corresponding author. E-mail addresses: [email protected] (S. Oh), hye [email protected] (S. Yun), [email protected] (M Image restoration problems, such as image denoising, are important steps in various image processing method, such as image segmentation and object recognition. Due to the edge p...

Total Solar Irradiance (TSI) quantifies the solar energy received by Earth and therefore is of direct relevance for a possible influence on climate change Earth. We analyse TSI space measurements from 1991 to 2021, we derive regression model that reproduces measured daily variations with Root Mean Square Error (RMSE) 0.17 W/m2. The uses MgII core wing ratio as facular brightening proxy Photomet...

One of the main challenges in block-sparse signal recovery, as encountered in, e.g., multi-antenna mmWave channel models, is block-patterned estimation without knowledge block sizes and boundaries. We propose a novel Sparse Bayesian Learning (SBL) method for recovery under unknown patterns. Contrary to conventional approaches that impose block-promoting regularization on components, we a...

Quantum control aims to manipulate quantum systems toward specific states or desired operations. Designing highly accurate and effective steps is vitally important various applications, including energy minimization circuit compilation. In this paper we focus on discrete binary problems apply different optimization algorithms techniques improve computational efficiency solution quality. Specifi...