Results 221 to 230 of about 6,084,560 (257)

Local and Global Structures Preserving Projection

19th IEEE International Conference on Tools with Artificial Intelligence(ICTAI 2007), 2007
In this paper, we propose Local and Global Structures Preserving Projection (LGSPP), which is to find a small set of projection directions so as to properly preserve the local and global structures for a given set of data. Specifically, for each point in the dataset, its local neighborhood is extracted as well as a set of sampled points far away from ...
Hao Cheng 0001, Kien A. Hua, Khanh Vu
openaire   +2 more sources

Discrete Locally-Linear Preserving Hashing

2018 25th IEEE International Conference on Image Processing (ICIP), 2018
Recently, hashing has attracted considerable attention for nearest neighbor search due to its fast query speed and low storage cost. However, existing unsupervised hashing algorithms have two problems in common. Firstly, the widely utilized anchor graph construction algorithm has inherent limitations in local weight estimation.
Xiang Li 0041, Chao Ma 0005, Jie Yang 0002, Xiaolin Huang   +3 more
openaire   +1 more source

Relative localization with symmetry preserving observers

2014 IEEE 27th Canadian Conference on Electrical and Computer Engineering (CCECE), 2014
Symmetry preserving observer design is a recently developed approach for deriving estimators which exploits the invariant properties of nonlinear systems. Multi-robot localization is inherently a system operating on SE(3), thereby posing an interesting problem for application of the filter. This paper presents an invariant extended Kalman filter design
Oscar De Silva, George K. I. Mann, Raymond G. Gosine   +2 more
openaire   +1 more source

Locality Structured Sparsity Preserving Embedding

International Journal of Pattern Recognition and Artificial Intelligence, 2015
In recent years, the theory of sparse representation (SR) has been widely exploited in sparse subspace learning (SSL). Among all these methods, SR is a parameter-free global algorithm in nature which is mostly utilized to construct the correlations between samples to avoid some negative effects incurred by k-nearest neighbor (KNN) or some other methods.
Lin Feng 0001, Huibing Wang, Shenglan Liu 0001, Hongwei Zhang   +3 more
openaire   +1 more source

Robust sparse and low-redundancy multi-label feature selection with dynamic local and global structure preservation

Pattern Recognition, 2022
Yonghao Li, Liang Hu, Wanfu Gao
semanticscholar   +1 more source

On directional preservation of orthogonality and its application to isometries

Bulletin des Sciences Mathématiques
We study the local preservation of Birkhoff-James orthogonality by linear operators between normed linear spaces, at a point and in a particular direction.
Jayanta Manna, Kalidas Mandal, K. Paul, D. Sain   +3 more
semanticscholar   +1 more source

Locality preserving verification for image search

Proceedings of the 21st ACM international conference on Multimedia, 2013
Establishing correct correspondences between two images has a wide range of applications, such as 2D and 3D registration, structure from motion, and image retrieval. In this paper, we propose a new matching method based on spatial constraints. The proposed method has linear time complexity, and is efficient when applying it to image retrieval. The main
Shanmin Pang, Jianru Xue, Nanning Zheng 0001, Qi Tian 0001   +3 more
openaire   +1 more source

Organ Preservation after Neoadjuvant Long-Course Chemoradiotherapy versus Short-Course Radiotherapy

Annals of Oncology
Background: Potential differences in organ preservation between total neoadjuvant therapy (TNT) regimens integrating long-course chemoradiotherapy (LCCRT) and short-course radiotherapy (SCRT) in rectal cancer remain undefined.
A. Bercz, B. Park, E. Pappou, D. Nemirovsky, R. Sarkar, M. Yamner, D. Omer, F. Verheij, J. Alvarez, P. Atri, M. Reyngold, R. Yaeger, I. Wei, A. Wu, N. Raj, M. Widmar, C. Hajj, M.J. Kim, D. Rao, G. Nash, V. Williams, J. Shia, N. Segal, L. Diaz, K. Ganesh, M. Weiser, M. Gollub, P. Paty, N. Horvat, M. Zinovoy, D. R. O'Brien, F. Sánchez-Vega, L. Saltz, C. Crane, A. Cercek, M. Gonen, J. Garcia-Aguilar, J. J. Smith, P. Romesser   +38 more
semanticscholar   +1 more source

Privacy Preserving Partial Localization

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Marcel Geppert, Viktor Larsson, Johannes L. Schönberger, Marc Pollefeys   +3 more
openaire   +1 more source

Constraint Qualifications for Mathematical Programs with Equilibrium Constraints and their Local Preservation Property

Journal of Optimization Theory and Applications, 2014
N. H. Chieu, G. Lee
semanticscholar   +1 more source