Journal Article10.1016/j.patcog.2022.109196
Linear discriminant analysis with generalized kernel constraint for robust image classification
23
TL;DR: Zhang et al. as discussed by the authors proposed a novel generalized distance constraint dubbed intra-class and inter-class kernel constraint (IIKC), which explicitly models the category kernel distance and focuses on helping the original LDA capture more discriminant features to further improve the separability and magnitude difference between nearby data points.
read more
About: This article is published in Pattern Recognition. The article was published on 01 Nov 2022. The article focuses on the topics: Kernel Fisher discriminant analysis & Linear discriminant analysis.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Deep leaning in food safety and authenticity detection: An integrative review and future prospects
Yan Wang,Hui-Wen Gu,Xiao-Li Yin,Tao Geng,Wanjun Long,Haiyan Fu,Yuanbin She +6 more
- 01 Feb 2024
TL;DR: This review integrates deep learning algorithms for food safety and authenticity detection, highlighting CNN, FCN, and GAN's potential, and prospects future directions, including data augmentation and multimodal neural networks for improved robustness and accuracy.
16
Open-Set Event Recognition Model Using 1-D RL-CNN With OpenMax Algorithm for Distributed Optical Fiber Vibration Sensing System
15 Jun 2023
TL;DR: Wang et al. as discussed by the authors proposed a novel open-set event recognition model based on 1-D residual learning convolution neural network (1-D RL-CNN) with OpenMax algorithm for DVS, which is capable of processing the signals of known and unknown categories.
11
Adaptive and fuzzy locality discriminant analysis for dimensionality reduction
Jingyu Wang,Yin Hu,Feiping Nie,Xuelong Li +3 more
TL;DR: AFLDA efficiently extracts precise and compact features from non-Gaussian data with rich local information by learning an optimized subspace, incorporating adaptive and fuzzy locality information, and addressing the interference of noisy and redundant information.
5
Joint Discriminative Analysis with Low-Rank Projection for Finger Vein Feature Extraction
TL;DR: A novel jointly embedding model, called Joint Discriminative Analysis with Low-Rank Projection (JDA-LRP), is proposed, to simultaneously extract noise component and salient information from the raw image pixels to extract the most representative features.
4
Open-Set Event Recognition Model Using 1-D RL-CNN With OpenMax Algorithm for Distributed Optical Fiber Vibration Sensing System
TL;DR: Wang et al. as discussed by the authors proposed a novel open-set event recognition model based on 1-D residual learning convolution neural network (1-D RL-CNN) with OpenMax algorithm for DVS, which is capable of processing the signals of known and unknown categories.
3
References
•Book
Distributed Optimization and Statistical Learning Via the Alternating Direction Method of Multipliers
Stephen Boyd,Neal Parikh,Eric Chu,Borja Peleato,Jonathan Eckstein +4 more
- 23 May 2011
TL;DR: It is argued that the alternating direction method of multipliers is well suited to distributed convex optimization, and in particular to large-scale problems arising in statistics, machine learning, and related areas.
Application of the Karhunen-Loeve procedure for the characterization of human faces
Michael Kirby,Lawrence Sirovich +1 more
TL;DR: The use of natural symmetries (mirror images) in a well-defined family of patterns (human faces) is discussed within the framework of the Karhunen-Loeve expansion, which results in an extension of the data and imposes even and odd symmetry on the eigenfunctions of the covariance matrix.
2.8K
Acquiring linear subspaces for face recognition under variable lighting
TL;DR: This paper shows how to arrange physical lighting so that the acquired images of each object can be directly used as the basis vectors of a low-dimensional linear space and that this subspace is close to those acquired by the other methods.
Columbia Object Image Library (COIL100)
S. Nayar
- 01 Jan 1996
TL;DR: Columbia Object Image Library COIL is a database of color images of objects that were placed on a motorized turntable against a black background and rotated through degrees to vary object pose with respect to a xed color camera.
2.5K
Face recognition using Eigenfaces
Vivek Kshirsagar,M.R. Baviskar,M.E. Gaikwad +2 more
- 11 Mar 2011
TL;DR: The paper presents a methodology for face recognition based on information theory approach of coding and decoding the face image using Principle Component Analysis and recognition using the feed forward back propagation Neural Network.
2.4K