IEEE Transactions on Neural Networks

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Any reasonable cost function can be used for a posteriori probability approximation
IEEE Transactions on Neural Networks - Tập 13 Số 5 - Trang 1204-1210 - 2002
M. Saerens, P. Latinne, C. Decaestecker
In this paper, we provide a straightforward proof of an important, but nevertheless little known, result obtained by Lindley in the framework of subjective probability theory. This result, once interpreted in the machine learning/pattern recognition context, puts new light on the probabilistic interpretation of the output of a trained classifier. A learning machine, or more generally a model, is u...... hiện toàn bộ
#Cost function #Laboratories #Machine learning #Bayesian methods #Mean square error methods #Artificial intelligence #Computational modeling #Decision making #Artificial neural networks #Input variables
Statistical multimodal integration for audio-visual speech processing
IEEE Transactions on Neural Networks - Tập 13 Số 4 - Trang 854-866 - 2002
S. Nakamura
Sensory information is indispensable for living things. It is also important for living things to integrate multiple types of senses to understand their surroundings. In human communications, human beings must further integrate the multimodal senses of audition and vision to understand intention. In this paper, we describe speech related modalities since speech is the most important media to trans...... hiện toàn bộ
#Speech processing #Speech synthesis #Speech recognition #Humans #Hidden Markov models #Keyboards #Mice #Man machine systems #Communications technology #Oral communication
An HMM-based speech-to-video synthesizer
IEEE Transactions on Neural Networks - Tập 13 Số 4 - Trang 900-915 - 2002
J.J. Williams, A.K. Katsaggelos
Emerging broadband communication systems promise a future of multimedia telephony, e.g. the addition of visual information to telephone conversations. It is useful to consider the problem of generating the critical information useful for speechreading, based on existing narrowband communications systems used for speech. This paper focuses on the problem of synthesizing visual articulatory movement...... hiện toàn bộ
#Synthesizers #Hidden Markov models #Speech synthesis #Telephony #Signal synthesis #Speech analysis #Broadband communication #Multimedia systems #Narrowband #Acoustic applications
An analysis of global asymptotic stability of delayed cellular neural networks
IEEE Transactions on Neural Networks - Tập 13 Số 5 - Trang 1239-1242 - 2002
S. Arik
In this paper, a new sufficient condition is given for the uniqueness and global asymptotic stability of the equilibrium point for delayed cellular neural networks (DCNNs). This condition imposes constraints on the feedback and delayed feedback matrices of a DCNN independently of the delay parameter. This result is also compared with the previous results derived in the literature.
#Asymptotic stability #Cellular neural networks #Neurofeedback #Delay #Sufficient conditions #Stability analysis #Neural networks #Equations #Output feedback #State feedback
From members to teams to committee-a robust approach to gestural and multimodal recognition
IEEE Transactions on Neural Networks - Tập 13 Số 4 - Trang 972-982 - 2002
Lizhong Wu, S.L. Oviatt, P.R. Cohen
When building a complex pattern recognizer with high-dimensional input features, a number of selection uncertainties arise. Traditional approaches to resolving these uncertainties typically rely either on the researcher's intuition or performance evaluation on validation data, both of which result in poor generalization and robustness on test data. This paper describes a novel recognition techniqu...... hiện toàn bộ
#Robustness #Pattern recognition #Uncertainty #Feature extraction #Handwriting recognition #Acoustic noise #Cepstral analysis #Testing #Character recognition #Decision making
A spatial-temporal approach for video caption detection and recognition
IEEE Transactions on Neural Networks - Tập 13 Số 4 - Trang 961-971 - 2002
Xiaoou Tang, Xinbo Gao, Jianzhuang Liu, Hongjiang Zhang
We present a video caption detection and recognition system based on a fuzzy-clustering neural network (FCNN) classifier. Using a novel caption-transition detection scheme we locate both spatial and temporal positions of video captions with high precision and efficiency. Then employing several new character segmentation and binarization techniques, we improve the Chinese video-caption recognition ...... hiện toàn bộ
#Indexing #Neural networks #Optical character recognition software #Character recognition #Shape measurement #Layout #Data mining #Video compression #Gunshot detection systems #Fuzzy neural networks
Improved neural network for SVM learning
IEEE Transactions on Neural Networks - Tập 13 Số 5 - Trang 1243-1244 - 2002
D. Anguita, A. Boni
The recurrent network of Xia et al. (1996) was proposed for solving quadratic programming problems and was recently adapted to support vector machine (SVM) learning by Tan et al. (2000). We show that this formulation contains some unnecessary circuits which, furthermore, can fail to provide the correct value of one of the SVM parameters and suggest how to avoid these drawbacks.
#Neural networks #Support vector machines #Support vector machine classification #Quadratic programming #Machine learning #Circuits #Hardware #Proposals #Very large scale integration #Differential equations
A class of physical modeling recurrent networks for analysis/synthesis of plucked string instruments
IEEE Transactions on Neural Networks - Tập 13 Số 5 - Trang 1137-1148 - 2002
A.W.Y. Su, Sheng-Fu Liang
A new approach is proposed that closely synthesizes tones of plucked string instruments by using a class of physical modeling recurrent networks. The strategies employed consist of a fast training algorithm and a multistage training procedure that are able to obtain the synthesis parameters for a specific instrument automatically. The training vector can be recorded tones of most target plucked in...... hiện toàn bộ
#Network synthesis #Instruments #Signal synthesis #Speech synthesis #Digital filters #Lattices #Synthesizers #Position measurement #Time measurement #Microphones
Một phương pháp dựa trên pha để ước lượng trường dòng quang học bằng cách sử dụng lọc không gian Dịch bởi AI
IEEE Transactions on Neural Networks - Tập 13 Số 5 - Trang 1127-1136 - 2002
T. Gautama, M.A. Van Hulle
Chúng tôi giới thiệu một kỹ thuật mới để ước lượng trường dòng quang học, bắt đầu từ các chuỗi hình ảnh. Như đã được Fleet và Jepson (1990) gợi ý, chúng tôi theo dõi các đường viền pha không đổi theo thời gian, vì chúng có độ bền hơn với những biến đổi trong điều kiện ánh sáng và các sai lệch so với chuyển động thuần túy so với các đường viền biên độ không đổi. Phương pháp dựa trên pha của chúng t...... hiện toàn bộ
#Lọc quang học #Ước lượng pha #Phân tích chuyển động hình ảnh #Bộ lọc Gabor #Chuỗi hình ảnh #Độ bền #Ngân hàng bộ lọc #Ước lượng năng suất #Lọc thông tin #Bộ lọc thông tin
The Graph Neural Network Model
IEEE Transactions on Neural Networks - Tập 20 Số 1 - Trang 61-80 - 2009
Franco Scarselli, M. Gori, Ah Chung Tsoi, Markus Hagenbuchner, Gabriele Monfardini
Tổng số: 99   
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