Giuseppe Amato
Giuseppe Amato

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giuseppe.amatoatisti.cnr.it

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Bibliometrics: publication history
Average citations per article9.25
Citation Count527
Publication count57
Publication years1993-2017
Available for download20
Average downloads per article243.80
Downloads (cumulative)4,876
Downloads (12 Months)784
Downloads (6 Weeks)104
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57 results found Export Results: bibtexendnoteacmrefcsv

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1 published by ACM
August 2017 SIGIR '17: Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 24,   Downloads (12 Months): 130,   Downloads (Overall): 130

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An increasing number of people share their thoughts and the images of their lives on social media platforms. People are exposed to food in their everyday lives and share on-line what they are eating by means of photos taken to their dishes. The hashtag #foodporn is constantly among the popular ...
Keywords: deep neural network, food image recognition, social media streaming

2 published by ACM
June 2017 CBMI '17: Proceedings of the 15th International Workshop on Content-Based Multimedia Indexing
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 7,   Downloads (12 Months): 39,   Downloads (Overall): 39

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We present an image search engine that allows searching by similarity about 100M images included in the YFCC100M dataset, and annotate query images. Image similarity search is performed using YFCC100M-HNfc6, the set of deep features we extracted from the YFCC100M dataset, which was indexed using the MI-File index for efficient ...
Keywords: Image Search, Deep Learning, Image Annotation

3 published by ACM
June 2017 CBMI '17: Proceedings of the 15th International Workshop on Content-Based Multimedia Indexing
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 20,   Downloads (12 Months): 90,   Downloads (Overall): 90

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Deep learning has recently become the state of the art in many computer vision applications and in image classification in particular. However, recent works have shown that it is quite easy to create adversarial examples, i.e., images intentionally created or modified to cause the deep neural network to make a ...
Keywords: Adversarial images detection, Deep Convolutional Neural Network, Machine Learning Security

4 published by ACM
June 2017 ICMR '17: Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 5,   Downloads (12 Months): 53,   Downloads (Overall): 53

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In this paper, we adapt a surrogate text representation technique to develop efficient instance-level image retrieval using Regional Maximum Activations of Convolutions (R-MAC). R-MAC features have recently showed outstanding performance in visual instance retrieval. However, contrary to the activations of hidden layers adopting ReLU (Rectified Linear Unit), these features are ...
Keywords: permutation-based indexing, similarity search, deep convolutional neural network

5
April 2017 Expert Systems with Applications: An International Journal: Volume 72 Issue C, April 2017
Publisher: Pergamon Press, Inc.
Bibliometrics:
Citation Count: 1

We propose an effective CNN architecture for visual parking occupancy detection.The CNN architecture is small enough to run on smart cameras.The proposed solution performs and generalizes better than other SotA approaches.We provide a new training/validation dataset for parking occupancy detection. A smart camera is a vision system capable of extracting ...
Keywords: Machine learning, Parking space dataset, Convolutional neural networks, Deep learning, Classification

6
March 2017 Information Systems: Volume 64 Issue C, March 2017
Publisher: Elsevier Science Ltd.
Bibliometrics:
Citation Count: 0


7 published by ACM
December 2016 Journal on Computing and Cultural Heritage (JOCCH): Volume 9 Issue 4, December 2016
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 9,   Downloads (12 Months): 115,   Downloads (Overall): 128

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By bringing together the most prominent European institutions and archives in the field of Classical Latin and Greek epigraphy, the EAGLE project has collected the vast majority of the surviving Greco-Latin inscriptions into a single readily-searchable database. Text-based search engines are typically used to retrieve information about ancient inscriptions (or ...
Keywords: epigraphy, Latin and Greek inscriptions, convolutional neural network, Fisher vector

8 published by ACM
October 2016 MMCommons '16: Proceedings of the 2016 ACM Workshop on Multimedia COMMONS
Publisher: ACM
Bibliometrics:
Citation Count: 2
Downloads (6 Weeks): 2,   Downloads (12 Months): 101,   Downloads (Overall): 138

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This paper presents a corpus of deep features extracted from the YFCC100M images considering the fc6 hidden layer activation of the HybridNet deep convolutional neural network. For a set of random selected queries we made available k-NN results obtained sequentially scanning the entire set features comparing both using the Euclidean ...
Keywords: YFCC100M, multimedia information retrieval, content-based image retrieval, deep features

9
October 2015 Engineering Applications of Artificial Intelligence: Volume 45 Issue C, October 2015
Publisher: Pergamon Press, Inc.
Bibliometrics:
Citation Count: 0

Robotic ecologies are systems made out of several robotic devices, including mobile robots, wireless sensors and effectors embedded in everyday environments, where they cooperate to achieve complex tasks. This paper demonstrates how endowing robotic ecologies with information processing algorithms such as perception, learning, planning, and novelty detection can make these ...
Keywords: Ambient assisted living, Cognitive robotics, Planning, Robotic ecology, Machine learning

10
October 2015 Journal of Intelligent and Robotic Systems: Volume 80 Issue 1, October 2015
Publisher: Kluwer Academic Publishers
Bibliometrics:
Citation Count: 4

Robotic ecologies are networks of heterogeneous robotic devices pervasively embedded in everyday environments, where they cooperate to perform complex tasks. While their potential makes them increasingly popular, one fundamental problem is how to make them both autonomous and adaptive, so as to reduce the amount of preparation, pre-programming and human ...
Keywords: Cognitive robotics, Networked robotics, Robotic ecology, Activity discovery, Wireless sensor and actuator networks, Activity recognition, Ambient assisted living, Home automation

11 published by ACM
September 2015 ICDSC '15: Proceedings of the 9th International Conference on Distributed Smart Cameras
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 0,   Downloads (12 Months): 15,   Downloads (Overall): 71

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In this work, a local feature based background modelling for background-foreground feature segmentation is presented. In local feature based computer vision applications, a local feature based model presents advantages with respect to classical pixel-based ones in terms of informativeness, robustness and segmentation performances. The method discussed in this paper is ...

12 published by ACM
August 2015 Journal on Computing and Cultural Heritage (JOCCH): Volume 8 Issue 4, August 2015
Publisher: ACM
Bibliometrics:
Citation Count: 2
Downloads (6 Weeks): 9,   Downloads (12 Months): 80,   Downloads (Overall): 332

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Content-based image classification is a wide research field that addresses the landmark recognition problem. Among the many classification techniques proposed, the k -nearest neighbor ( kNN ) is one of the most simple and widely used methods. In this article, we use kNN classification and landmark recognition techniques to address ...
Keywords: image classification, kNN classification, local features, object recognition, tourism

13
August 2015 Information Systems: Volume 52 Issue C, August 2015
Publisher: Elsevier Science Ltd.
Bibliometrics:
Citation Count: 1

Recently, permutation based indexes have attracted interest in the area of similarity search. The basic idea of permutation based indexes is that data objects are represented as appropriately generated permutations of a set of pivots (or reference objects). Similarity queries are executed by searching for data objects whose permutation representation ...
Keywords: Content based image retrieval, Metric space, Pivot, Similarity search, Inverted files, Permutation-based

14
January 2015 Pervasive and Mobile Computing: Volume 16 Issue PA, January 2015
Publisher: Elsevier Science Publishers B. V.
Bibliometrics:
Citation Count: 1

The detection and tracking of composite events in Wireless Sensor Networks often employ ad-hoc solutions that aim at detecting and tracking only specific types of events or use generic query languages that are not specifically built to manage events. We propose a new query language and an in-network query processing ...
Keywords: Detection, Tracking, Query language, Wireless sensor networks

15
August 2014 Multimedia Tools and Applications: Volume 71 Issue 3, August 2014
Publisher: Kluwer Academic Publishers
Bibliometrics:
Citation Count: 12

We propose a new efficient and accurate technique for generic approximate similarity searching, based on the use of inverted files. We represent each object of a dataset by the ordering of a number of reference objects according to their distance from the object itself. In order to compare two objects ...
Keywords: Similarity searching, Access methods, Multimedia information retrieval

16 published by ACM
April 2014 ICMR '14: Proceedings of International Conference on Multimedia Retrieval
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 1,   Downloads (12 Months): 15,   Downloads (Overall): 123

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Vector of locally aggregated descriptors (VLAD) is a promising approach for addressing the problem of image search on a very large scale. This representation is proposed to overcome the quantization error problem faced in Bag-of-Words (BoW) representation. In this paper, we propose to enable inverted files of standard text search ...
Keywords: image classification, local features, landmarks recognition

17
October 2013 SISAP 2013: Proceedings of the 6th International Conference on Similarity Search and Applications - Volume 8199
Publisher: Springer-Verlag New York, Inc.
Bibliometrics:
Citation Count: 1

Recently, permutation based indexes have attracted interest in the area of similarity search. The basic idea of permutation based indexes is that data objects are represented as appropriately generated permutations of a set of pivots or reference objects. Similarity queries are executed by searching for data objects whose permutation representation ...
Keywords: pivot, similarity search, inverted files, metric space, content based image retrieval, permutation-based

18
October 2013 SISAP 2013: Proceedings of the 6th International Conference on Similarity Search and Applications - Volume 8199
Publisher: Springer-Verlag New York, Inc.
Bibliometrics:
Citation Count: 0

Vector of locally aggregated descriptors VLAD is a promising approach for addressing the problem of image search on a very large scale. This representation is proposed to overcome the quantization error problem faced in Bag-of-Words BoW representation. However, text search engines have not be used yet for indexing VLAD given ...
Keywords: local features, bag of features, compact codes, bag of words, image retrieval

19 published by ACM
June 2011 SISAP '11: Proceedings of the Fourth International Conference on SImilarity Search and APplications
Publisher: ACM
Bibliometrics:
Citation Count: 2
Downloads (6 Weeks): 3,   Downloads (12 Months): 13,   Downloads (Overall): 188

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Applications of image content recognition, as for instance landmark recognition, can be obtained by using techniques of kNN classifications based on the use of local image features, such as SIFT or SURF. Quality of image classification can be improved by defining geometric consistency check rules based on space transformations of ...
Keywords: image indexing, local features, landmarks, recognition, image classification

20 published by ACM
June 2011 SISAP '11: Proceedings of the Fourth International Conference on SImilarity Search and APplications
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 3,   Downloads (12 Months): 11,   Downloads (Overall): 101

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In this paper, we propose a technique for automatic element detection from Laser Induced Breakdown Spectroscopy (LIBS) spectra. The presented approach uses a technique derived from information retrieval and, more specifically, from the Vector Space Model , to compute the similarity between spectra of elements and samples. These spectra, obtained ...



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