An accurate retrieval through R-MAC+ descriptors for landmark recognition

The landmark recognition problem is far from being solved, but with the use of features extracted from intermediate layers of Convolutional Neural Networks (CNNs), excellent results have been obtained. In this work, we propose some improvements on the creation of R-MAC descriptors in order to make the newly-proposed R-MAC+ descriptors more representative than the previous ones. However, the main contribution of this paper is a novel retrieval technique, that exploits the fine representativeness of the MAC descriptors of the database images. Using this descriptors called "db regions" during the retrieval stage, the performance is greatly improved. The proposed method is tested on different public datasets: Oxford5k, Paris6k and Holidays. It outperforms the state-of-the- art results on Holidays and reached excellent results on Oxford5k and Paris6k, overcame only by approaches based on fine-tuning strategies

Currency crises and uncertainty about fundamentals

This paper extends some theoretical results of Morris and Shin (1998) concerning the role of uncertainty about fundamentals in currency crises and tests their empirical relevance using a novel approach based on the distribution of survey expectations. Econometric evidence from the Asian crisis confirms the prediction that the dispersion of expectations affects the probability of a speculative attack and that the sign of this effect depends on whether expected fundamentals are "good" or "bad". Extensive robustness checks support the findings.speculative attack, exchange rate crisis, public and private information

What is the Most Effective Monetary Policy for Aid-Receiving Countries?

This paper analyses how monetary policy can enhance the effectiveness of volatile aid fl ows. We find that monetary policy is effective in reducing trade balance volatility. We propose the following taxonomy, excluding the case of emergency assistance. Monetary policy should slow down consumption growth and build up international reserves when aid is abundant and deplete them to finance imports and support consumption when aid is scarce. If foreign aid also affects productivity growth, monetary policy should take this productivity effect into account in responding to aid flows.Aid effectiveness, monetary policy, real exchange rate, Dutch disease

Efficient Nearest Neighbors Search for Large-Scale Landmark Recognition

The problem of landmark recognition has achieved excellent results in small-scale datasets. When dealing with large-scale retrieval, issues that were irrelevant with small amount of data, quickly become fundamental for an efficient retrieval phase. In particular, computational time needs to be kept as low as possible, whilst the retrieval accuracy has to be preserved as much as possible. In this paper we propose a novel multi-index hashing method called Bag of Indexes (BoI) for Approximate Nearest Neighbors (ANN) search. It allows to drastically reduce the query time and outperforms the accuracy results compared to the state-of-the-art methods for large-scale landmark recognition. It has been demonstrated that this family of algorithms can be applied on different embedding techniques like VLAD and R-MAC obtaining excellent results in very short times on different public datasets: Holidays+Flickr1M, Oxford105k and Paris106k