Results 261 to 270 of about 8,233,255 (298)

Classification via atomic representation

2015 IEEE 2nd International Conference on Cybernetics (CYBCONF), 2015
This paper provides a novel and unified framework of representation based classification technique. The proposed atomic representation based classification (ARC) framework includes, but not limited to, sparse representation based classification (SRC), low-rank representation based classification (LRRC) as special cases.
Yulong Wang 0002, Yuan Yan Tang, Lina Yang, Huiwu Luo, Haoliang Yuan, Xianwei Zheng, Jianjia Pan   +6 more
openaire   +2 more sources

Face classification via sparse approximations

2011 IEEE 19th Signal Processing and Communications Applications Conference (SIU), 2011
2D face classification problem is very difficult because of the illumination, pose, expression and occlusion factor. The sparse Representation based classification (SRC) provides a significant amount of robustness against to illumination changes and noise.
Elena Battini Sonmez, Bülent Sankur, Songul Albayrak   +2 more
openaire   +3 more sources

Construction of classification trees via the classification-hierarchy table

Information and Software Technology, 1997
Abstract The classification-tree method developed by Grochtmann and coworkers is a black box testing technique to assist test engineers to construct test cases systematically from the functional specifications, via the construction of classification trees.
Tsong Yueh Chen, Pak-Lok Poon
openaire   +1 more source

Classification via semi-Riemannian spaces

2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008
In this paper, we develop a geometric framework for linear or nonlinear discriminant subspace learning and classification. In our framework, the structures of classes are conceptualized as a semi-Riemannian manifold which is considered as a submanifold embedded in an ambient semi-Riemannian space.
ZHAO DELI, LIN ZHOUCHEN, TANG XIAOOU
openaire   +3 more sources

Gender Classification via Gradientfaces

2010
In this paper illumination invariant, pose and facial expression tolerant gender classification method is proposed. A recently introduced feature extraction method, namely Gradientfaces, is utilized together with Support Vector Machine (SVM) as a classifier.
K. Berker Logoglu, Ahmet Saracoglu, Ersin Esen, A. Aydin Alatan   +3 more
openaire   +2 more sources

3D Classification Via Structural Prototypes

2007
We describe a 3D shape classification framework, and discuss the performance of selective and creative prototypes extracted from structural descriptors.
Biasotti S, Giorgi D, Marini S, Spagnuolo M, Falcidieno B   +4 more
openaire   +3 more sources

Rock classification via a mobile device

7th International Conference on Communications and Networking in China, 2012
Mobile devices have been widely used to facilitate information exchanges and help our daily lives. In this paper, we present a rock classification system based on mobile environment. This system consists of a mobile phone and a remote server. First, the mobile phone is used to image rocks, due to the convenience in viewing and checking the captured ...
Chia-Hsiang Wu, Jiann-Shu Lee, Chin-Yin Shie, Mei-Yun Su   +3 more
openaire   +2 more sources

Web Genre Classification via Hierarchical Multi-label Classification

2015
The increase of the number of web pages prompts for improvement of the search engines. One such improvement can be by specifying the desired web genre of the result web pages. This opens the need for web genre prediction based on the information on the web page.
Gjorgji Madjarov, Vedrana Vidulin, Ivica Dimitrovski, Dragi Kocev   +3 more
openaire   +3 more sources

Lung Pattern Classification Via DCNN

2020 IEEE International Conference on Big Data (Big Data), 2020
Interstitial lung disease (ILD) causes pulmonary fibrosis. The correct classification of ILD plays a crucial role in the diagnosis and treatment process. In this research work, we propose a lung nodules recognition method based on a deep convolutional neural network (DCNN) and global features, which can be used for computer-aided diagnosis (CAD) of ...
Jing Selena He, Meng Han, Lei Yu, Chao Mei   +3 more
openaire   +2 more sources

Dog breed classification via landmarks

2014 IEEE International Conference on Image Processing (ICIP), 2014
Object recognition is an important problem with a wide range of applications. It is also a challenging problem, especially for animal categorization as the differences among breeds can be subtle. In this paper, based on statistical techniques for landmark-based shape representation, we propose to model the shape of dog breed as points on the Grassmann ...
Xiaolong Wang 0006, Vincent Ly, Scott Sorensen, Chandra Kambhamettu   +3 more
openaire   +2 more sources