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14 years 10 months ago
A Contourlet Transform Feature Extraction Scheme for Ultrasound Thyroid Texture Classification
Ultrasonography is an invaluable and widely used medical imaging tool. Nevertheless, automatic texture analysis on ultrasound images remains a challenging issue. This work presen...
Stamos Katsigiannis, Eystratios G. Keramidas, Dimi...
ML
2008
ACM
15 years 5 months ago
Incremental exemplar learning schemes for classification on embedded devices
Although memory-based classifiers offer robust classification performance, their widespread usage on embedded devices is hindered due to the device's limited memory resources...
Ankur Jain, Daniel Nikovski
136
Voted
ISCAS
2006
IEEE
116views Hardware» more  ISCAS 2006»
15 years 11 months ago
Signal processing for brain-computer interface: enhance feature extraction and classification
Abstract-In this paper we present a new scheme for brain imaginary movement invovles sophisticated spatial-temporalsignal processing and classification for electroencephalogram spe...
Haihong Zhang, Cuntai Guan, Yuanqing Li
CASES
2009
ACM
15 years 11 months ago
Fine-grain performance scaling of soft vector processors
Embedded systems are often implemented on FPGA devices and 25% of the time [2] include a soft processor— a processor built using the FPGA reprogrammable fabric. Because of their...
Peter Yiannacouras, J. Gregory Steffan, Jonathan R...
ICML
2010
IEEE
15 years 6 months ago
Large Scale Max-Margin Multi-Label Classification with Priors
We propose a max-margin formulation for the multi-label classification problem where the goal is to tag a data point with a set of pre-specified labels. Given a set of L labels, a...
Bharath Hariharan, Lihi Zelnik-Manor, S. V. N. Vis...