Results 11 to 20 of about 733,862 (315)
Feature learning via partial differential equation with applications to face recognition [PDF]
, 2017 Feature learning is a critical step in pattern recognition, such as image classification. However, most of the existing methods cannot extract features that are discriminative and at the same time invariant under some transforms.
Fang, Cong +7 more
core +1 more source
Informative shape representations for human action recognition [PDF]
, 2006 Shape and kinematics are two important cues in human movement analysis. Due to real difficulties in extracting kinematics from videos accurately, this paper proposes to address the problem of human action recognition by spatiotemporal shape analysis ...
Liang Wang +3 more
core +1 more source
Advances in Multimedia, 2023 With the rapid development of the national power grid, there is an increasing and strict demand for accurate intelligent management. However, the current detection algorithms have limited abilities under adverse conditions, especially in regions like ...
R. Chang +8 more
doaj +1 more source
Rapid face recognition using hashing [PDF]
, 2010 We propose a face recognition approach based on hashing. The approach yields comparable recognition rates with the random ℓ1 approach, which is considered the state-of-the-art. But our method is much faster: it is up to 150 times faster than on the YaleB
Shen, Chunhua +8 more
core +1 more source
Human motion recognition using gaussian processes classification [PDF]
, 2008 This paper investigates the applicability of Gaussian processes (GP) classification for recognition of articulated and deformable human motions from image sequences.
Liang Wang +5 more
core +1 more source
Image segmentation based on adaptive K-means algorithm
EURASIP Journal on Image and Video Processing, 2018 Image segmentation is an important preprocessing operation in image recognition and computer vision. This paper proposes an adaptive K-means image segmentation method, which generates accurate segmentation results with simple operation and avoids the ...
Xin Zheng +4 more
doaj +1 more source
Sparse distributed localized gradient fused features of objects [PDF]
, 2015 The sparse, hierarchical, and modular processing of natural signals is related to the ability of humans to recognize objects with high accuracy. In this study, we report a sparse feature processing and encoding method, which improved the recognition ...
Pappachen James, Alex +2 more
core +2 more sources
Deep learning for terahertz image denoising in nondestructive historical document analysis
Scientific Reports, 2022 Historical documents contain essential information about the past, including places, people, or events. Many of these valuable cultural artifacts cannot be further examined due to aging or external influences, as they are too fragile to be opened or ...
Balaka Dutta +11 more
doaj +1 more source
Trainable COSFIRE Filters for Keypoint Detection and Pattern Recognition [PDF]
, 2013 Background: Keypoint detection is important for many computer vision applications. Existing methods suffer from insufficient selectivity regarding the shape properties of features and are vulnerable to contrast variations and to the presence of noise or ...
Azzopardi, George, +6 more
core +1 more source
Exploring Misclassification Information for Fine-Grained Image Classification
Sensors, 2021 Fine-grained image classification is a hot topic that has been widely studied recently. Many fine-grained image classification methods ignore misclassification information, which is important to improve classification accuracy.
Da-Han Wang +4 more
doaj +1 more source