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» Framework extraction with domain analysis
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TNN
2008
141views more  TNN 2008»
13 years 8 months ago
MPCA: Multilinear Principal Component Analysis of Tensor Objects
This paper introduces a multilinear principal component analysis (MPCA) framework for tensor object feature extraction. Objects of interest in many computer vision and pattern rec...
Haiping Lu, Konstantinos N. Plataniotis, Anastasio...
JCP
2007
94views more  JCP 2007»
13 years 8 months ago
Low-Complexity Analysis of Repetitive Regularities for Biometric Applications
— Presented in this paper is a joint algorithm optimization and architecture design framework for analysis of repetitive regularities. Two closely coupled algorithm optimization ...
Lei Wang, Niral Patel
ICDAR
2009
IEEE
14 years 3 months ago
A Self-Adaptive Method for Extraction of Document-Specific Alphabets
Recognition and encoding of digitized historical documents is still a challenging and difficult task. A major problem is the occurrence of unknown glyphs and symbols which might n...
Stefan Pletschacher
ICASSP
2011
IEEE
13 years 13 days ago
Non-stationary feature extraction for automatic speech recognition
In current speech recognition systems mainly Short-Time Fourier Transform based features like MFCC are applied. Dropping the short-time stationarity assumption of the voiced speec...
Zoltán Tüske, Pavel Golik, Ralf Schl&u...
DEXAW
2000
IEEE
165views Database» more  DEXAW 2000»
14 years 1 months ago
Summarizing Video Datasets in the Spatiotemporal Domain
In this paper we address the problem of analyzing and managing complex dynamic scenes captured in video. We present an approach to summarize video datasets by analyzing the trajec...
Anthony Stefanidis, Panos Partsinevelos, Peggy Ago...