Yet, after years of close observation, she believes the corrida de toros is a unique form of culture based on the "artistic union of man and animal". Abolition would be a tragic blow to our democratic right of self-expression.
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He is more than a torero — he has an aura about him, a charisma, and there is an absolute beauty about what he does. He is extraordinary in every sense. It is one of the enormous paradoxes of this man that he has galvanised the anti-bullfight cause as much as the world of the bullfight itself.
In June , he returned to the ring, choosing as the venue for his messianic comeback the Plaza de Toros Monumental in Barcelona. The matador's choice of city and plaza was highly significant: for years the huge Monumental bullring had been struggling economically, its downmarket bullfights playing to tourists bussed in from the Costa Brava.
Catalan bullfight culture was fading away. The great and the good of Barcelona society rammed the stalls. The torero duly won three "ears" the prized trophy of the corrida and was carried from the ring on the shoulders of the multitude amid wild scenes of jubilation.
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But, as it happens, his return fight turned out to be a watershed as much for the antis as for the pros. Leonardo Anselmi, of the Plataforma Prou, prime mover behind the Catalan bill, describes how the antis' legal masterplan was conceived that day. Demonstrations, banners, the usual thing.
Spanish team finds hidden 'tomb of Jesus'
But the reappearance of this man got us pretty angry, because we realised that the bullfight world was taking the mickey out of us. What had been tradition was now just business. And that's when we started to get political. That day in Barcelona saw the biggest anti-bullfight demonstration of all time: 5, people marched from the Ramblas to the Plaza de Toros Monumental, where the bullfight world was busy acclaiming its conquering hero. From here it was but a step to the massive campaign of signatures — a total of , were collected across Catalonia — which eventually led to a parliamentary bill.
Three years later, the battle lines are more clearly drawn than ever.
Both pros and antis will be crossing their fingers this summer. But the torero has recovered from his wounds in record time — nothing short of a miracle, say his more devoted followers — and is said to be planning a spectacular reappearance.
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Free download. Book file PDF easily for everyone and every device. This Book have some digital formats such us :paperbook, ebook, kindle, epub, fb2 and another formats. Spanish team finds hidden 'tomb of Jesus' What everyone notices, critics and public, is the way he places himself with regard to the bull as it passes — so close that the horns literally graze the fabric of his suit. La Depressione Italian Edition.
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Normally, neural networks are fed with shuffled data without any control of what type of examples contains a mini-batch. For situations where data are abundant and there does not exist an unbalancing between classes, shuffling the training data is enough to ensure a balanced mini-batch. On the contrary, most real-world problems end up with databases where some classes are predominant vs others, ill-conditioning the training network to learn those classes forgetting the others.
For those conditioned cases, most common methods simply discard a certain number of samples until the data is balanced, but this paper proposes an ordered method of feeding data while preserving randomness in the mini-batch composition and using all available samples. This method has proven to solve the problem with unbalanced data-sets while competing with other methods. The combination of different ADAS functions allows vehicles navigate on a highway autonomously, but at the same time, following the traffic rules and regulations requirements, and also guaranteeing safety on the road.
The practical objective in this article is to implement a Reinforcement Learning method whose actions are based in these regulated functions for autonomous vehicles navigation. With this aim, a study of the state-of-the-art of autonomous vehicles simulators has been completed. Hence, the algorithm will be tested using a five-lane highway simulator, previously selected.
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Results and performance of the model through experimentation will be presented and evaluated using the simulator for different network architectures. In many every day examples trained machine learning models are rendered obsolete by an inability to adapt to an ever changing environment.
This may happen either because their performance decreases in time or because external agents impose new constraints, for example, in the form of regulations. This situation is particularly worrying in company productions environments where model accuracy needs to be preserved.
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In such situations, model-agnostic copies have been proposed as a viable method to adapt pre-existing models to the new requirements. In this article we study how the use of copies can be extended to endow classifiers trained in batch with online learning. We propose two online algorithms and validate their performance in a series of well-known problems. In this paper, we explore a Convolutional Neural Network CNN based architecture that learns the audio cues to predict the Big Five personality traits score of a speaker.
Our model takes advantage from a pre-trained model on a large database for audio event recognition AudioSet. The pre-trained model has been fine-tuned on the First Impression Dataset to obtain an audio representation for personality trait recognition. In addition, we interpret our model and generate the visual correlation between the model parameters and learned representations by exploring the Class Activation Maps CAM.
Our results show that our interpretable CNN architecture slightly outperforms, in terms of accuracy, previous methods based on hand-crafted features. We also explore a CNN model trained from scratch which takes as input the raw audio data in the frequency domain, finding some discriminative frequency patterns for each personality trait. The interpretability part reveals the inter-mechanism of the model, showing that some frequency bands are more discriminative for personality trait recognition than others.
Wearable cameras are become more popular in recent years for capturing the unscripted moments of the first-person that help to analyze the users lifestyle.
https://mounturinkapol.ml In this work, we aim to recognize the places related to food in egocentric images during a day to identify the daily food patterns of the first-person. Thus, this system can assist to improve their eating behavior to protect users against food-related diseases. In this paper, we use Siamese Neural Networks to learn the similarity between images from corresponding inputs for one-shot food places classification. The proposed Siamese Neural Networks model with MobileNet achieved an overall classification accuracy of Meteorology studies the behaviour of atmospheric phenomena in a specific place and time, it is of enormous dynamism and complexity.
This paper presents an approach based on a deep semantic neural network that accurately performs a multi-class pixel-wise classification of diverse cloud types, providing information of great value to complement traditional weather assessment techniques. The obtained results suggest that simple web-cams can be of great help for observations that complement traditional data for short-term weather predictions and generations of warnings.
A WWTP is a critical system which aims to ensure the quality of the water discharged to the receiving bodies, stablished by applicable regulations. For this purpose, data mining methods are considered to extract the available knowledge from historical data to find a useful case base to be able to generate set-points for the local controllers in the WWTP. The results presented in this work are evaluated taking into account the performance of the CBR method e.
For this purpose, some Key Performance Indicators KPI are designed together with the plant manager and process experts, in order to monitor key parameters of the WWTP which are representative of the performance of the control and supervision system. Hence, these KPI are related with water quality regulations —e. In order to evaluate the results, different flat-based memory organizations i.
First, a unique case base is used. At the current stage and for the results shown in this work, this case base is divided in multiple libraries depending on a case classification. Finally, the combination of this approach with Rule-Based Reasoning RBR methods is proposed for the next stages of the work.