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JMLR
2008
188views more  JMLR 2008»
13 years 7 months ago
Maximal Causes for Non-linear Component Extraction
We study a generative model in which hidden causes combine competitively to produce observations. Multiple active causes combine to determine the value of an observed variable thr...
Jörg Lücke, Maneesh Sahani
SPIESR
2001
174views Database» more  SPIESR 2001»
13 years 9 months ago
Mapping low-level image features to semantic concepts
Humans tend to use high-level semantic concepts when querying and browsing multimedia databases; there is thus, a need for systems that extract these concepts and make available a...
Daniela Stan, Ishwar K. Sethi
NC
2007
129views Neural Networks» more  NC 2007»
13 years 7 months ago
Sorting of neural spikes: When wavelet based methods outperform principal component analysis
Sorting of the extracellularly recorded spikes is a basic prerequisite for analysis of the cooperative neural behavior and neural code. Fundamentally the sorting performance is deï...
Alexey N. Pavlov, Valeri A. Makarov, Ioulia Makaro...
ICDAR
2011
IEEE
12 years 7 months ago
Localization of Digit Strings in Farsi/Arabic Document Images Using Structural Features and Syntactical Analysis
—This paper presents a new method for localization of digit strings with a specific syntax in Farsi/ Arabic document images. First, some features are extracted from all connected...
Ali Abedi, Karim Faez
TNN
2008
141views more  TNN 2008»
13 years 7 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...