The construction and inspection of reinforcement rebar currently rely entirely on manual work, which leads to problems such as high labor requirements costs. Rebar image detection using deep learning algorithms can be employed in quality intelligent construction; it check the number, spacing, diameter a site, guide robots complete tying. However, application relies large number datasets train m...

Motivated by real-world applications such as fast fashion retailing and online advertising, the Multinomial Logit Bandit (MNL-bandit) is a popular model in learning operations research, has attracted much attention past decade. In this paper, we give efficient algorithms for pure exploration MNL-bandit. Our achieve instance-sensitive pull complexities. We also complement upper bounds an almost ...

Abstract We present a fast heuristic approach for solving binary multiple instance learning (MIL) problem, which consists in discriminating between two kinds of item sets: the sets are called bags and items inside them instances. Assuming that only classes instances allowed, common standard hypothesis states bag is positive if it contains at least negative when all its negative. Our constructs ...

Instance segmentation in remote sensing images is challenging due to the object-level discrimination and pixel-level for objects. In applications, instance adopts instance-aware mask, rather than horizontal bounding box oriented object detection, or category-aware mask semantic segmentation, interpret objects with boundaries. Despite these distinct advantages, versatile methods are still be dis...

The finger vein recognition system uses blood vessels inside the of an individual for identity verification. public is in favor a over conventional passwords or ID cards as biometric technology harder to forge, misplace, and share. In this study, histogram oriented gradients (HOG) features, which are robust against changes illumination position, extracted from personal recognition. To further i...

We consider the problem of efficiently estimating size join a collection preprocessed relational tables from perspective instance optimality analysis. The running time optimal algorithms is comparable to minimum needed verify correctness solution. Previously, were only known when was small (as one component their linear in size). give an algorithm for all instances, including large, by removing...

A new multi-attention based method for solving the MIL problem (MAMIL), which takes into account neighboring patches or instances of each analyzed patch in a bag, is proposed. In method, one attention modules adjacent instances, several are used to get diverse feature representation patches, and module unite different representations provide an accurate classification (instance) whole bag. Due ...

Foraminifera are single-celled marine organisms that construct shells remain as fossils in the sediments. Classifying and counting these important paleo-oceanographic -climatological research. However, identification process has been performed manually since 1800s is laborious time-consuming. In this work, we present a deep learning-based instance segmentation model for classifying, detecting, ...

We consider the problem of generating hard instances for the Satisfying Assignment Search Problem (in short, SAT). It is not known whether SAT is di cult on average, while it has been believed that the Factorization Problem (in short, FACT) is hard on average. Thus, one can expect to generate hard-on-average instances by using a reduction from FACT to SAT. Although the asymptotically best reduc...