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江南大学人工智能与计算机学院吴小俊教授团队在人工智能顶级期刊《IEEE Transactions on Pattern Analysis and Machine Intelligence》发表深度学习最新研究成果（图）
吴小俊 人工智能 深度学习 模式识别 IEEE TPAMI
2024/3/2
近日，江南大学人工智能与计算机学院吴小俊教授团队的李辉博士等在深度学习及多模态视觉信息融合研究中取得重要进展，研究成果以“LRRNet: A Novel Representation Learning Guided Fusion Framework for Infrared and Visible Images”为题发表在人工智能领域顶级学术期刊《IEEE Transactions on Patt...
吉林大学人工智能学院曹晓锋副教授在人工智能国际顶级期刊《IEEE Transactions on Pattern Analysis and Machine Intelligence》发表最新研究成果（图）
吉林大学人工智能学院 曹晓锋 人工智能 IEEE Transactions on Pattern Analysis and Machine Intelligence
2022/4/4
近日，人工智能领域顶级学术刊物《IEEE Transactions on Pattern Analysis and Machine Intelligence》（即IEEE T-PAMI，影响因子17.861）接收了我院“准长聘人才计划” 引进的海外优秀学者曹晓锋副教授的最新研究成果《Distribution Disagreement via Lorentzian Focal Representat...
APPLICATION OF CLASSIFICATION ALGORITHM OF MACHINE LEARNING AND BUFFER ANALYSIS IN TORISM REGIONAL PLANNING
the Chaohu Lake Land Use Classification Change Monitoring SVM Buffer Zone Analysis
2018/5/16
Remote Sensing (RS) and Geography Information System (GIS) technologies are widely used in ecological analysis and regional planning. With the advantages of large scale monitoring, combination of poin...
2017计算机图像，视频和三维形状分析深度学习研讨会（Workshop on DEEP LEARNING IN COMPUTER VISION FOR IMAGE, VIDEO AND 3D SHAPE ANALYSIS）
2017 计算机图像 视频 三维形状 分析 深度学习 研讨会
2017/5/22
This tutorial lecture aims at providing an overview of the recent advances around deep learning techniques in computer vision. Some amount of exposure to the modern computer vision and machine learni...
ACCURACY ESTIMATION OF THE OPTICAL FLOWMETHODS IN THE IRIS STRUCTURE MOTION ANALYSIS VIA CONTROLLED DEFORMATIONS
Biometrics Iris Structure Computer Vision Image Analysis Optical Flow Horn-Schunck Method Lucas-Kanade Method Accuracy Estimation
2017/6/19
The iris structure motion is analyzed. Extension and compression of the iris structural elements are nonlinear with respect to the pupil radius change. To reveal this nonlinearity the Lucas-Kanade, Ho...
第19届图像分析和处理国际会议（19th International Conference on Image Analysis and Processing）
第19届 图像分析和处理 国际会议
2017/3/21
ICIAP 2017 is the 19th edition of a series of conferences organized biennially by the Italian Member Society (GIRPR) of the International Association for Pattern Recognition (IAPR).
Sound, Complete and Scalable Path-Sensitive Analysis
Static analysis path- and context-sensitive analysis strongest necessary/weakest sufficient conditions
2016/5/24
We present a new, precise technique for fully path- and contextsensitive program analysis. Our technique exploits two observations:First, using quantified, recursive formulas, path- and contextsensiti...
Scale-Based Monotonicity Analysis in Qualitative Modelling with Flat Segments
Piecewise Quasi-Monotone Functions Model-Based Diagnostic Qualitative Model Abstraction
2015/8/3
Qualitative models are often more suitable than classical quantitative models in tasks such as Model-based Diagnosis (MBD), explaining system behavior, and designing novel devices from first principle...
On the analysis and interpretation of inhomogeneous quadratic forms as receptive fields
Quadratic forms receptive fields nonlinear analysis visualization
2015/7/31
In this paper we introduce some mathematical and numerical tools to analyze and interpret inhomogeneous quadratic forms. The resulting characterization is in some aspects similar to that given by expe...
An Observational Framework to the Zipfian Analysis among Different Languages:Studies to Indonesian Ethnic Biblical Texts
statistical processing of natural language Zipf’s law Zipf-Mandelbrot fit corpus evolution of language
2015/7/29
The paper introduces the used of Zipfian statistics to observe the human languages by using the same (meaning) corpus/corpora but different in grammatical and structural utterances. We used biblical t...
An Extension of Slow Feature Analysis for Nonlinear Blind Source Separation
slow feature analysis nonlinear blind source separation independent component analysis
2015/7/15
We present and test an extension of slow feature analysis as a novel approach to nonlinear blind source separation. The algorithm relies on temporal correlations and iteratively reconstructs a set of ...
How to Solve Classification and Regression Problems on High-Dimensional Data with a Supervised Extension of Slow Feature Analysis
Slow feature analysis feature extraction classifi cation regression pattern recognition training graphs nonlinear dimensionality reduction supervised learning high-dimensional data implicitly supervised image analysis
2015/7/10
Supervised learning from high-dimensional data, e.g., multimedia data, is a challenging task. We propose an extension of slow feature analysis (SFA) for supervised dimensionality reduction called grap...
It is known that superpositions of ridge functions (single hidden-layer feedforward neural networks) may give good approximations to certain kinds of multivariate functions. It remains unclear, howeve...
Non-Negative Factor Analysis for Gaussian Mixture Model Weight Adaptation for Language and Dialect Recognition
Non-negative factor analysis model adaptation Gaussian mixture model weight dialect recognition language recognition
2014/11/27
Non-Negative Factor Analysis for Gaussian Mixture Model Weight Adaptation for Language and Dialect Recognition.
ZERO RESOURCE SPOKEN AUDIO CORPUS ANALYSIS
Zero-resource speech processing spoken term discovery speech summarization
2014/11/27
Zero-resource speech processing involves the automatic analysis of a collection of speech data in a completely unsupervised fashion without the benefit of any transcriptions or annotations of the data...