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» On Feature Extraction via Kernels
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ICPR
2010
IEEE
13 years 8 months ago
Improving Classification Accuracy by Comparing Local Features through Canonical Correlations
Classifying images using features extracted from densely sampled local patches has enjoyed significant success in many detection and recognition tasks. It is also well known that ...
Mert Dikmen, Thomas S. Huang
SPE
2002
119views more  SPE 2002»
13 years 9 months ago
HARTEX - a safe real-time kernel for distributed computer control systems
: The paper presents a hard real-time kernel for distributed computer control systems (DCCS) highlighting a number of novel features, such as integrated scheduling of hard and soft...
C. K. Angelov, I. E. Ivanov, Alan Burns
ICASSP
2011
IEEE
13 years 1 months ago
Kernel cross-modal factor analysis for multimodal information fusion
This paper presents a novel approach for multimodal information fusion. The proposed method is based on kernel cross-modal factor analysis (KCFA), in which the optimal transformat...
Yongjin Wang, Ling Guan, Anastasios N. Venetsanopo...
COLING
2002
13 years 9 months ago
Extracting Word Sequence Correspondences with Support Vector Machines
This paper proposes a learning and extracting method of word sequence correspondences from non-aligned parallel corpora with Support Vector Machines, which have high ability of th...
Kengo Sato, Hiroaki Saito
CBMS
2008
IEEE
14 years 4 months ago
Thyroid Texture Representation via Noise Resistant Image Features
The robustness of textural features on speckle noise is of vital importance for ultrasound imaging. A set of novel fuzzy features for thyroid ultrasound texture representation, de...
Eystratios G. Keramidas, Dimitrios K. Iakovidis, D...