نتایج جستجو برای: simultaneous detection

تعداد نتایج: 671476  

2013
Jie Cai Lian An

Protectionism against economic globalization (free trade and FDI) always surges in the financial crises as the pressure from unemployment mounts. This paper aims to assess the rationality of the protectionism. Instead of analyzing from the pure economic efficiency perspective, this paper assesses the rationality of protectionism from the political relation perspective. By building a costly sign...

2005
In-Moo Kim Joon Y. Park

This paper introduces an iterative method to estimate the cointegrating vectors in the error correction models. The method provides the asymptotically efficient estimators for the cointegrating vectors if iterated once or more. If it is iterated until convergence, we may obtain the maximum likelihood estimator by Johansen. For all values of 1 ≤ k ≤ ∞, the k-step iterative estimators are asympto...

2003
Lin-An Chen Peter Thompson Hui-Nien Hung

A two-stage symmetric regression quantile is considered as an alternative for estimating the population quantile for the simultaneous equations model. We introduce a two-stage symmetric trimmed least squares estimator (LSE) based on this quantile. It is shown that, under mixed multivariate normal errors, this trimmed LSE has asymptotic variance much closer to the Cramér-Rao lower bound than som...

Journal: :CoRR 2017
Niko Sünderhauf Michael Milford

Research in Simultaneous Localization And Mapping (SLAM) is increasingly moving towards richer world representations involving objects and high level features that enable a semantic model of the world for robots, potentially leading to a more meaningful set of robot-world interactions. Many of these advances are grounded in state-of-the-art computer vision techniques primarily developed in the ...

Journal: :CoRR 2017
Seyed Amir Tafrishi Vahid E. Kandjani

This paper presents a state-of-the-art approach in object detection for being applied in future SLAM problems. Although, many SLAM methods are proposed to create suitable autonomy for mobile robots namely ground vehicles, they still face overconfidence and large computations during entrance to immense spaces with many landmarks. In particular, they suffer from impractical applications via sole ...

Journal: :Applied microbiology 1972
C Gutiérrez C González

A method was developed for simultaneous detection of proteinase and esterase activity in extremely halophilic bacteria by combining Tween hydrolysis and gelatin hydrolysis on a single plate.

2007
Edmund J. Malesky

This paper tests the hypothesis that increasing stocks of foreign direct investment (FDI) can lead to de facto decentralization in the form of autonomous reform experiments by subnational leaders. Because these reform experiments may attract FDI in subsequent years, there is a possibility of endogeneity. As a result, the methodology is a simultaneous equation model of 61 Vietnamese provinces be...

2013
Nicola Fioraio Gregorio Cerri Luigi di Stefano

In this paper we propose an extension to the KinectFusion approach which enables both SLAM-graph optimization, usually required on large looping routes, as well as discovery of semantic information in the form of object detection and localization. Global optimization is achieved by incorporating the notion of keyframe into a KinectFusion-style approach, thus providing the system with the abilit...

Journal: :J. Field Robotics 2014
Arun Das Michael Diu Neil Mathew Christian Scharfenberger James Servos Alexander Wong John S. Zelek David A. Clausi Steven Lake Waslander

This paper presents algorithmic advances and field trial results for autonomous exploration and proposes a solution to perform simultaneous localization and mapping (SLAM), complete coverage, and object detection without relying on GPS or magnetometer data. We demonstrate an integrated approach to the exploration problem, and we make specific contributions in terms of mapping, planning, and sam...

Journal: :CoRR 2017
F. Li J. Du

With emerging machine learning algorithms [1-5], computer vision tasks such as face recognition, object detection and simultaneous localization and mapping (SLAM) are now using more and more machine learning methods. In order to achieve good results, large amount of data is required to feed into algorithm. This not only requires energy-efficient computation [6-7], but energy-efficient data tran...

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