Pattern Analysis and Applications
Công bố khoa học tiêu biểu
* Dữ liệu chỉ mang tính chất tham khảo
Sắp xếp:
Training neural networks on high-dimensional data using random projection
Pattern Analysis and Applications - Tập 22 - Trang 1221-1231 - 2018
Training deep neural networks (DNNs) on high-dimensional data with no spatial structure poses a major computational problem. It implies a network architecture with a huge input layer, which greatly increases the number of weights, often making the training infeasible. One solution to this problem is to reduce the dimensionality of the input space to a manageable size, and then train a deep network...... hiện toàn bộ
Synthetic aperture radar river image segmentation using improved localizing region-based active contour model
Pattern Analysis and Applications - Tập 22 - Trang 731-746 - 2018
Adaptive localizing region-based active contour model driven by Laplacian kernel-based fitting energy is proposed for improving the efficiency and accuracy of synthetic aperture radar (SAR) river image segmentation in the paper. Defining regional energy functional that depends on the Laplacian kernel distance which is robust and non-Euclidean, Laplacian kernel distance is nonlinear transformation,...... hiện toàn bộ
Computer Vision, Pattern Recognition and Image Processing in Left Ventricle Segmentation: The Last 50 Years
Pattern Analysis and Applications - Tập 3 - Trang 209-242 - 2000
In the last decade, computer vision, pattern recognition, image processing and cardiac researchers have given immense attention to cardiac image analysis and modelling. This paper survets state-of-the-art computer vision and pattern recognition techniques for Left Ventricle (LV) segmentation and modelling during the second half of the twentieth century. The paper presents the key charateristics o...... hiện toàn bộ
Correction to: Action recognition by key trajectories
Pattern Analysis and Applications - Tập 25 Số 2 - Trang 485-485 - 2022
A method for liver segmentation in perfusion MR images using probabilistic atlases and viscous reconstruction
Pattern Analysis and Applications - Tập 21 - Trang 1083-1095 - 2017
Magnetic resonance (MR) tomographic images are routinely used in diagnosis of liver pathologies. Liver segmentation is needed for these types of images. It is therefore an important requirement for later tasks such as comparison among studies of different patients, as well as studies of the same patient (including those taken during the diffusion of a contrast, as in perfusion MR imaging). However...... hiện toàn bộ
Real-time vision-based eye state detection for driver alertness monitoring
Pattern Analysis and Applications - Tập 16 - Trang 285-306 - 2013
This paper presents a real-time vision-based system to detect the eye state. The system is implemented with a consumer-grade computer and an uncalibrated web camera with passive illumination. Previously established similarity measures between image regions, feature selection algorithms, and classifiers have been applied to achieve vision-based eye state detection without introducing a new methodol...... hiện toàn bộ
Fuzzy segmentation for finger vessel pattern extraction of infrared images
Pattern Analysis and Applications - Tập 18 - Trang 901-919 - 2014
In this paper, an algorithm for robust finger vessel pattern extraction from infrared images is presented based on image processing, edge suppression, fuzzy enhancement, and fuzzy clustering. Initially, the brightness variations of the images are eliminated using histogram normalization and the vessel patterns are enhanced, to facilitate the separation process from other tissue parts through fuzzy...... hiện toàn bộ
Video spatiotemporal mapping for human action recognition by convolutional neural network
Pattern Analysis and Applications - - 2020
On kernel difference-weighted k-nearest neighbor classification
Pattern Analysis and Applications - Tập 11 - Trang 247-257 - 2008
Nearest neighbor (NN) rule is one of the simplest and the most important methods in pattern recognition. In this paper, we propose a kernel difference-weighted k-nearest neighbor (KDF-KNN) method for pattern classification. The proposed method defines the weighted KNN rule as a constrained optimization problem, and we then propose an efficient solution to compute the weights of different nearest n...... hiện toàn bộ
An efficient similarity measure approach for PCB surface defect detection
Pattern Analysis and Applications - Tập 21 Số 1 - Trang 277-289 - 2018
Tổng số: 1,006
- 1
- 2
- 3
- 4
- 5
- 6
- 10