1D-Convolutional Neural Network Architecture for Generalized Time-Segmentation Tasks
1D-Convolutional Neural Network Architecture for Generalized Time-Segmentation Tasks
Feature analysis: support vector machine approaches [4550-37]
Local window approach to detect line segment based on line model in low-quality image [4550-43]
Corner detection algorithm based on multifeature [4550-38]
Using opponent correlation functions to recognize color texture [4550-44]
Technique for roof-edge detection based on morphological method [4550-72]
Application of some valid methods in cell segmentation [4550-66]
Automatic segmentation of overlapping and touching chromosomes [4550-65]
Feature extraction and recognition of harbor contour [4550-33]
Using wavelet for filtering speckle and extracting edge from ocean SAR image [4550-46]
Corner detection method based on wavelet transform [4550-62]
Dynamic gesture recognition using PCA with multiscale theory and HMM [4550-30]
Study and application of extraction method of fundus image parameters [4550-69]
New segmentation algorithm for detecting tiny objects [4550-60]
Method of image segmentation based on fringe pick-up [4550-53]
Multipose face recognition in a complex background [4550-25]
Automatic threshold estimation for gradient image segmentation [4550-16]