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ADMA
2010
Springer
248views Data Mining» more  ADMA 2010»
15 years 4 months ago
Classification Inductive Rule Learning with Negated Features
This paper reports on an investigation to compare a number of strategies to include negated features within the process of Inductive Rule Learning (IRL). The emphasis is on generat...
Stephanie Chua, Frans Coenen, Grant Malcolm
CVPR
2012
IEEE
13 years 9 months ago
Learning features on robotic surgical tools
Computer-aided surgical interventions in both manual and robotic procedures have been shown to improve patient outcomes and enhance the skills of the human physician. Tool trackin...
Austin Reiter, Peter K. Allen, Tao Zhao
ICIP
2007
IEEE
16 years 8 months ago
Iterative Feature Selection for Color Texture Classification
In this paper, we describe a new approach for color texture classification by use of Haralick features extracted from color co-occurrence matrices. As the color of each pixel can ...
Alice Porebski, Nicolas Vandenbroucke, Ludovic Mac...
ICIP
1997
IEEE
16 years 8 months ago
Higher order local autocorrelation features of PARCOR images for gesture recognition
This paper proposes a feature extraction method for gesture recognition, which is based on higher order local autocorrelation (HLAC) of PARCOR images. To extract dominant informat...
Takio Kurita, Yasuo Kobayashi, Taketoshi Mishima
ISBI
2002
IEEE
16 years 7 months ago
Learning multispectral texture features for cervical cancer detection
We present a bottom-up approach for automatic cancer cell detection in multispectral microscopic thin Pap smear images. Around 4,000 multispectral texture features are explored fo...
Yanxi Liu, Tong Zhao, Jiayong Zhang