Pasquale FOGGIA | Publications

62849Cascade classifiers trained on gammatonegrams for reliably detecting audio events

	2014
	Contributo in Atti di convegno
	Cascade classifiers trained on gammatonegrams for reliably detecting audio events. In: 2014 11th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) Pag.50-55 ISBN:9781479948710
	International Conference on Advanced Video and Signal base Surveillance Seoul - South Korea 27-30/08
	Foggia, Pasquale; Saggese, Alessia; Strisciuglio, Nicola; Vento, Mario
	Digital Object Identifier (DOI): 10.1109/AVSS.2014.6918643 Codice identificativo ISI: WOS:000365607900009 Codice identificativo SCOPUS: 2-s2.0-84909953241
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62855A Semantic Reasoner Using Attributed Graphs Based on Intelligent Fusion of Security Multi-sources Information

	2014
	Contributo in Atti di convegno
	A Semantic Reasoner Using Attributed Graphs Based on Intelligent Fusion of Security Multi-sources Information. In: Lecture Notes in Computer ScienceActivity Monitoring by Multiple Distributed SensingVol.8703, Pag.73-86 ISBN:9783319133225; 9783319133232
	Activity Monitoring by Multiple Distributed Sensing Stoccolma - Svezia 24-28/08
	Carletti, Vincenzo; DI LASCIO, Rosario; Foggia, Pasquale; Vento, Mario
	Digital Object Identifier (DOI): 10.1007/978-3-319-13323-2_7 Codice identificativo ISI: WOS:000354930900007 Codice identificativo SCOPUS: 2-s2.0-84912093873
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62859Tracking System with Re-identification Using a RGB String Kernel

	2014
	Contributo in Atti di convegno
	Tracking System with Re-identification Using a RGB String Kernel. In: Lecture Notes in Computer Science Structural, Syntactic, and Statistical Pattern RecognitionVol.8621, Pag.333-342 ISBN:9783662444146; 9783662444153
	Structural, Syntactic, and Statistical Pattern Recognition Joensuu, Finland 20-22/08
	Amal, Mahboubi; Luc, Brun; Conte, Donatello; Foggia, Pasquale; Vento, Mario
	Digital Object Identifier (DOI): 10.1007/978-3-662-44415-3_34 Codice identificativo ISI: WOS:000358256900034 Codice identificativo SCOPUS: 2-s2.0-84906306434
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62851Exploiting the deep learning paradigm for recognizing human actions

	2014
	Contributo in Atti di convegno
	Exploiting the deep learning paradigm for recognizing human actions. In: 2014 11th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) Pag.93-98 ISBN:9781479948710
	11th IEEE International Conference on Advanced Video and Signal Based 2014 Seoul - South Korea 26-29/08
	Foggia, Pasquale; Saggese, Alessia; Strisciuglio, Nicola; Vento, Mario
	Digital Object Identifier (DOI): 10.1109/AVSS.2014.6918650 Codice identificativo ISI: WOS:000365607900016 Codice identificativo SCOPUS: 2-s2.0-84909953054
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