In this study, we investigate the effects of mandatory social and environmental regulations (MSER) on firm innovation. 2008, Shanghai Shenzhen Stock Exchange in China published that mandate some public firms to disclose their governance information annual reports. As MSER apply only selected firms, provides an ideal setting for us observe Using a difference-in-differences with propensity-score-...

Related Articles The Si3N4/TiN Interface: 4. Si3N4/TiN(001) Grown with a −250 V Substrate Bias and Analyzed In situ using Angle-resolved X-ray Photoelectron Spectroscopy Surf. Sci. Spectra 19, 62 (2012) The Si3N4/TiN Interface: 1. TiN(001) Grown and Analyzed In situ using Angle-resolved X-ray Photoelectron Spectroscopy Surf. Sci. Spectra 19, 33 (2012) The Si3N4/TiN Interface: 5. TiN/Si3N4 Grown...

To protect digital video from unauthorized use, video copy detection is an active research topic in the field of copyright control. For content-based copy detection, the key issue is to extract robust transformation-invariant feature. In this paper, a robust hashing algorithm based on speeded up robust feature (SURF) and ordinal measure (OM) is proposed for video copy detection. Since SURF is a...

OBJECTIVE To test the hypothesis that preterm infants with infant respiratory distress syndrome who are treated with nasal continuous positive airway pressure (NCPAP) and surfactant administration followed by immediate extubation and NCPAP application (SURF-NCPAP group) demonstrate less need for mechanical ventilation (MV), compared with infants who receive MV after surfactant administration (S...

Related Articles The Si3N4/TiN Interface: 4. Si3N4/TiN(001) Grown with a −250 V Substrate Bias and Analyzed In situ using Angle-resolved X-ray Photoelectron Spectroscopy Surf. Sci. Spectra 19, 62 (2012) The Si3N4/TiN Interface: 1. TiN(001) Grown and Analyzed In situ using Angle-resolved X-ray Photoelectron Spectroscopy Surf. Sci. Spectra 19, 33 (2012) The Si3N4/TiN Interface: 5. TiN/Si3N4 Grown...

This paper discusses an algorithm to build a semisupervised learning framework for detecting cells. The cell candidates are represented as extremal regions drawn from a hierarchical image representation. Training a classifier for cell detection using supervised approaches relies on a large amount of training data, which requires a lot of effort and time. We propose a semisupervised approach to ...

This thesis presents a robust online learning and recognition system. The basic idea is to exploit information from tracking an object during the recognition and/or learning stage to obtain increased robustness and better recognition results. Object tracking by means of an extended MSER tracker is utilized to extract local features and construct their trajectories. Compact object representation...

In this paper, a novel affine invariant descriptor for object matching is proposed. The advantage of Maximally Stable Extremal Regions (MSER) method is applied to get the most stable regions in the image. Inside each region, we pick the seeds as keypoints since MSER regions are invariant to affine transformation. Besides that, Voronoi diagram is employed to split the image into small Voronoi ce...

Related Articles The Si3N4/TiN Interface: 4. Si3N4/TiN(001) Grown with a −250 V Substrate Bias and Analyzed In situ using Angle-resolved X-ray Photoelectron Spectroscopy Surf. Sci. Spectra 19, 62 (2012) The Si3N4/TiN Interface: 1. TiN(001) Grown and Analyzed In situ using Angle-resolved X-ray Photoelectron Spectroscopy Surf. Sci. Spectra 19, 33 (2012) The Si3N4/TiN Interface: 5. TiN/Si3N4 Grown...

Speeded-Up Robust Feature (SURF) is commonly used for feature matching in stereovision because of their robustness towards scale changes and rotational changes. However, SURF feature cannot cope with large viewpoint changes or skew distortion. This paper introduces a method which can help to improve the wide baseline’s matching performance in term of accuracy by rectifying the image using two v...