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Ieee Transactions on Pattern Analysis and Machine Intelligence

The IEEE Transactions on Pattern Analysis and Machine Intelligence is a prestigious journal that focuses on the latest advancements in the fields of pattern analysis and machine intelligence. It publishes high-quality research papers that explore innovative techniques, algorithms, and applications in areas such as computer vision, image processing, pattern recognition, and artificial intelligence. The journal serves as a platform for researchers, scientists, and practitioners to exchange knowledge and contribute to the development of cutting-edge technologies in these domains.

Details
Abbr. IEEE Trans Pattern Anal Mach Intell
Start 1979
End Continuing
Frequency Monthly, 1989-
p-ISSN 0162-8828
e-ISSN 1939-3539
Country United States
Language English
Metrics
h-index / Ranks: 65 417
SJR / Ranks: 180 6158
CiteScore / Ranks: 150 30.40
JIF / Ranks: 128 23.6
Recent Articles
1.
Park J, Yun S, Park H, Kang J, Jeong J, Kim K, et al.
IEEE Trans Pattern Anal Mach Intell . 2025 Mar; PP. PMID: 40085455
Transformer-based models have recently shown success in representation learning on graph-structured data beyond natural language processing and computer vision. However, the success is limited to small-scale graphs due to the...
2.
Qin D, Lin H, Zhang Q, Qiao K, Zhang L, Saito J, et al.
IEEE Trans Pattern Anal Mach Intell . 2025 Mar; PP. PMID: 40085454
Traditional and AI-driven modeling techniques enable high-fidelity 3D asset generation from scans, videos, or text prompts. However, editing and rendering these assets often involves a trade-off between quality and speed....
3.
Wang Y, Mu J, Huang H, Wang Q, Zhu P, Hu Q
IEEE Trans Pattern Anal Mach Intell . 2025 Mar; PP. PMID: 40072860
Open set recognition (OSR) requires models to classify known samples while detecting unknown samples for real-world applications. Existing studies show impressive progress using unknown samples from auxiliary datasets to regularize...
4.
Zhang H, Yang Y, Qi F, Qian S, Xu C
IEEE Trans Pattern Anal Mach Intell . 2025 Mar; PP. PMID: 40072859
Supervised Cross-Modal Retrieval (SCMR) achieves significant performance with the supervision provided by substantial label annotations of multi-modal data. However, the requirement for large annotated multi-modal datasets restricts the use of...
5.
Wood D, Kapp D, Kebede T, Hirakawa K
IEEE Trans Pattern Anal Mach Intell . 2025 Mar; PP. PMID: 40072858
Anomaly detection is a common application of machine learning. Out-of-distribution (OOD) detection in particular is a semi-supervised anomaly detection technique where the detection method is trained only on the inlier...
6.
Luo Z, Rocha A, Shi B, Guo Q, Li H, Wan R
IEEE Trans Pattern Anal Mach Intell . 2025 Mar; PP. PMID: 40067723
Neural Radiance Fields (NeRF) have been gaining attention as a significant form of 3D content representation. With the proliferation of NeRF-based creations, the need for copyright protection has emerged as...
7.
Wang Y, Liu G, Wang X, Chen Z, Li J, Liang X, et al.
IEEE Trans Pattern Anal Mach Intell . 2025 Mar; PP. PMID: 40067722
The advancement of 4D (i.e., sequential 3D) generation opens up new possibilities for lifelike experiences in various applications, where users can explore dynamic objects or characters from any viewpoint. Meanwhile,...
8.
Yang L, Tang T, Li J, Yuan K, Wu K, Chen P, et al.
IEEE Trans Pattern Anal Mach Intell . 2025 Mar; PP. PMID: 40067721
While most recent autonomous driving system focuses on developing perception methods on ego-vehicle sensors, people tend to overlook an alternative approach to leverage intelligent roadside cameras to extend the perception...
9.
Huang Y, Chen B, Li N, An B, Xia S, Wang Y
IEEE Trans Pattern Anal Mach Intell . 2025 Mar; PP. PMID: 40063430
Conventional compressed sensing (CS) algorithms typically apply a uniform sampling rate to different image blocks. A more strategic approach could be to allocate the number of measurements adaptively, based on...
10.
Ennajari H, Bouguila N, Bentahar J
IEEE Trans Pattern Anal Mach Intell . 2025 Mar; PP. PMID: 40063429
With the prevalence of short texts in various forms such as news headlines, tweets, and reviews, short text analysis has gained significant interest in recent times. However, modeling short texts...