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» Supervised Feature Extraction Using Hilbert-Schmidt Norms
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NN
2004
Springer
111views Neural Networks» more  NN 2004»
15 years 8 months ago
The Analysis of Voice Quality in Speech Processing
Abstract. Voice quality has been defined as the characteristic auditory colouring of an individual's voice, derived from a variety of laryngeal and supralaryngeal features and...
Eric Keller
CVPR
2004
IEEE
16 years 4 months ago
Detecting Unusual Activity in Video
We present an unsupervised technique for detecting unusual activity in a large video set using many simple features. No complex activity models and no supervised feature selection...
Hua Zhong, Jianbo Shi, Mirkó Visontai
PAMI
2006
185views more  PAMI 2006»
15 years 2 months ago
Generic Object Recognition with Boosting
This paper explores the power and the limitations of weakly supervised categorization. We present a complete framework that starts with the extraction of various local regions of e...
Andreas Opelt, Axel Pinz, Michael Fussenegger, Pet...
IJON
2010
139views more  IJON 2010»
15 years 1 months ago
Event monitoring via local motion abnormality detection in non-linear subspace
We present a computational approach to abnormal visual event detection, which is based on exploring and modeling local motion patterns in a non-linear subspace. We use motion vect...
Ioannis Tziakos, Andrea Cavallaro, Li-Qun Xu
141
Voted
MIR
2010
ACM
325views Multimedia» more  MIR 2010»
15 years 4 months ago
A classification-driven similarity matching framework for retrieval of biomedical images
This paper presents a classification-driven biomedical image retrieval system to bride the semantic gap by transforming image features to their global categories at different gran...
Md. Mahmudur Rahman, Sameer Antani, George R. Thom...